如何在matlab中添加新的工具箱

matlab工具箱安装教程

1.1 如果是Matlab安装光盘上的工具箱，重新执行安装程序，选中即可；1.2 如果是单独下载的工具箱，一般情况下仅需要把新的工具箱解压到某个目录。

2 在matlab的file下面的set path把它加上。

3 把路径加进去后在file→Preferences→General的Toolbox Path Caching里点击update Toolbox Path Cache更新一下。

4 用which newtoolbox_command.m来检验是否可以访问。

如果能够显示新设置的路径，则表明该工具箱可以使用了。

把你的工具箱文件夹放到安装目录中“toolbox”文件夹中，然后单击“file”菜单中的“setpath”命令，打开“setpath”对话框，单击左边的“ADDFolder”命令，然后选择你的那个文件夹，最后单击“SAVE”命令就OK了。

MATLAB Toolboxes＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝/zsmcode.htmlBinaural-modeling software for MATLAB/Windows/home/Michael_Akeroyd/download2.htmlStatistical Parametric Mapping (SPM)/spm/ext/BOOTSTRAP MATLAB TOOLBOX.au/downloads/bootstrap_toolbox.htmlThe DSS package for MATLABDSS Matlab package contains algorithms for performing linear, deflation and symmetric DSS. http://www.cis.hut.fi/projects/dss/package/Psychtoolbox/download.htmlMultisurface Method Tree with MATLAB/~olvi/uwmp/msmt.htmlA Matlab Toolbox for every single topic !/~baum/toolboxes.htmleg. BrainStorm - MEG and EEG data visualization and processingCLAWPACK is a software package designed to compute numerical solutions to hyperbolic partial differential equations using a wave propagation approach/~claw/DIPimage - Image Processing ToolboxPRTools - Pattern Recognition Toolbox (+ Neural Networks)NetLab - Neural Network ToolboxFSTB - Fuzzy Systems ToolboxFusetool - Image Fusion Toolboxhttp://www.metapix.de/toolbox.htmWAVEKIT - Wavelet ToolboxGat - Genetic Algorithm ToolboxTSTOOL is a MATLAB software package for nonlinear time series analysis.TSTOOL can be used for computing: Time-delay reconstruction, Lyapunov exponents, Fractal dimensions, Mutual information, Surrogate data tests, Nearest neighbor statistics, Return times, Poincare sections, Nonlinear predictionhttp://www.physik3.gwdg.de/tstool/MATLAB / Data description toolboxA Matlab toolbox for data description, outlier and novelty detectionMarch 26, 2004 - D.M.J. Taxhttp://www-ict.ewi.tudelft.nl/~davidt/dd_tools/dd_manual.htmlMBEhttp://www.pmarneffei.hku.hk/mbetoolbox/Betabolic network toolbox for Matlabhttp://www.molgen.mpg.de/~lieberme/pages/network_matlab.htmlPharmacokinetics toolbox for Matlabhttp://page.inf.fu-berlin.de/~lieber/seiten/pbpk_toolbox.htmlThe SpiderThe spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with, e.g model selection, statistical tests and visual plots. This gives all the power of objects (reusability, plug together, share code) but also all the power of Matlab for machine learning research.http://www.kyb.tuebingen.mpg.de/bs/people/spider/index.htmlSchwarz-Christoffel Toolbox/matlabcentral/fileexchange/loadFile.do?objectId=1316&objectT ype=file#XML Toolbox/matlabcentral/fileexchange/loadFile.do?objectId=4278&object Type=fileFIR/TDNN Toolbox for MATLABBeta version of a toolbox for FIR (Finite Impulse Response) and TD (Time Delay) NeuralNetworks./interval-comp/dagstuhl.03/oish.pdfMisc.http://www.dcsc.tudelft.nl/Research/Software/index.htmlAstronomySaturn and Titan trajectories ... MALTAB astronomy/~abrecht/Matlab-codes/AudioMA Toolbox for Matlab Implementing Similarity Measures for Audiohttp://www.oefai.at/~elias/ma/index.htmlMAD - Matlab Auditory Demonstrations/~martin/MAD/docs/mad.htmMusic Analysis - Toolbox for Matlab : Feature Extraction from Raw Audio Signals for Content-Based Music Retrihttp://www.ai.univie.ac.at/~elias/ma/WarpTB - Matlab Toolbox for Warped DSPBy Aki Härmä and Matti Karjalainenhttp://www.acoustics.hut.fi/software/warp/MATLAB-related Softwarehttp://www.dpmi.tu-graz.ac.at/~schloegl/matlab/Biomedical Signal data formats (EEG machine specific file formats with Matlab import routines)http://www.dpmi.tu-graz.ac.at/~schloegl/matlab/eeg/MPEG Encoding library for MATLAB Movies (Created by David Foti)It enables MATLAB users to read (MPGREAD) or write (MPGWRITE) MPEG movies. That should help Video Quality project.Filter Design packagehttp://www.ee.ryerson.ca:8080/~mzeytin/dfp/index.htmlOctave by Christophe COUVREUR (Generates normalized A-weigthing, C-weighting, octave and one-third-octave digital filters)/matlabcentral/fileexchange/loadFile.do?objectType=file&object Id=69Source Coding MATLAB Toolbox/users/kieffer/programs.htmlBio Medical Informatics (Top)CGH-Plotter: MATLAB Toolbox for CGH-data AnalysisCode: http://sigwww.cs.tut.fi/TICSP/CGH-Plotter/Poster: http://sigwww.cs.tut.fi/TICSP/CSB2003/Posteri_CGH_Plotter.pdfThe Brain Imaging Software Toolboxhttp://www.bic.mni.mcgill.ca/software/MRI Brain Segmentation/matlabcentral/fileexchange/loadFile.do?objectId=4879Chemometrics (providing PCA) (Top)Matlab Molecular Biology & Evolution Toolbox(Toolbox Enables Evolutionary Biologists to Analyze and View DNA and Protein Sequences) James J. Caihttp://www.pmarneffei.hku.hk/mbetoolbox/Toolbox provided by Prof. Massart research grouphttp://minf.vub.ac.be/~fabi/publiek/Useful collection of routines from Prof age smilde research grouphttp://www-its.chem.uva.nl/research/pacMultivariate Toolbox written by Rune Mathisen/~mvartools/index.htmlMatlab code and datasetshttp://www.acc.umu.se/~tnkjtg/chemometrics/dataset.htmlChaos (Top)Chaotic Systems Toolbox/matlabcentral/fileexchange/loadFile.do?objectId=1597&objectT ype=file#HOSA Toolboxhttp://www.mathworks.nl/matlabcentral/fileexchange/loadFile.do?objectId=3013&objectTy pe=fileChemistry (Top)MetMAP - (Metabolical Modeling, Analysis and oPtimization alias Met. M. A. P.)http://webpages.ull.es/users/sympbst/pag_ing/pag_metmap/index.htmDoseLab - A set of software programs for quantitative comparison of measured and computed radiation dose distributions/GenBank Overview/Genbank/GenbankOverview.htmlMatlab: /matlabcentral/fileexchange/loadFile.do?objectId=1139CodingCode for the estimation of Scaling Exponentshttp://www.cubinlab.ee.mu.oz.au/~darryl/secondorder_code.htmlControl (Top)Control Tutorial for Matlab/group/ctm/AnotherCommunications (Top)Channel Learning Architecture toolbox(This Matlab toolbox is a supplement to the article "HiperLearn: A High Performance Learning Architecture")http://www.isy.liu.se/cvl/Projects/hiperlearn/Source Coding MATLAB Toolbox/users/kieffer/programs.htmlTCP/UDP/IP Toolbox 2.0.4/matlabcentral/fileexchange/loadFile.do?objectId=345&objectT ype=fileHome Networking Basis: Transmission Environments and Wired/Wireless Protocols Walter Y. Chen/support/books/book5295.jsp?category=new&language=-1MATLAB M-files and Simulink models/matlabcentral/fileexchange/loadFile.do?objectId=3834&object Type=file•OPNML/MATLAB Facilities/OPNML_Matlab/Mesh Generation/home/vavasis/qmg-home.htmlOpenFEM : An Open-Source Finite Element Toolbox/CALFEM is an interactive computer program for teaching the finite element method (FEM)http://www.byggmek.lth.se/Calfem/frinfo.htmThe Engineering Vibration Toolbox/people/faculty/jslater/vtoolbox/vtoolbox.htmlSaGA - Spatial and Geometric Analysis Toolboxby Kirill K. Pankratov/~glenn/kirill/saga.htmlMexCDF and NetCDF Toolbox For Matlab-5&6/staffpages/cdenham/public_html/MexCDF/nc4ml5.htmlCUEDSID: Cambridge University System Identification Toolbox/jmm/cuedsid/Kriging Toolbox/software/Geostats_software/MATLAB_KRIGING_TOOLBOX.htmMonte Carlo (Dr Nando)http://www.cs.ubc.ca/~nando/software.htmlRIOTS - The Most Powerful Optimal Control Problem Solver/~adam/RIOTS/ExcelMATLAB xlsheets/matlabcentral/fileexchange/loadFile.do?objectId=4474&objectTy pe=filewrite2excel/matlabcentral/fileexchange/loadFile.do?objectId=4414&objectTy pe=fileFinite Element Modeling (FEM) (Top)OpenFEM - An Open-Source Finite Element Toolbox/NLFET - nonlinear finite element toolbox for MATLAB ( framework for setting up, solving, and interpreting results for nonlinear static and dynamic finite element analysis.)/GetFEM - C++ library for finite element methods elementary computations with a Matlabinterfacehttp://www.gmm.insa-tlse.fr/getfem/FELIPE - FEA package to view results ( contains neat interface to MATLA/~blstmbr/felipe/Finance (Top)A NEW MATLAB-BASED TOOLBOX FOR COMPUTER AIDED DYNAMIC TECHNICAL TRADINGStephanos Papadamou and George StephanidesDepartment of Applied Informatics, University Of Macedonia Economic & Social Sciences, Thessaloniki, Greece/fen31/one_time_articles/dynamic_tech_trade_matlab6.htm Paper: :8089/eps/prog/papers/0201/0201001.pdfCompEcon Toolbox for Matlab/~pfackler/compecon/toolbox.htmlGenetic Algorithms (Top)The Genetic Algorithm Optimization Toolbox (GAOT) for Matlab 5/mirage/GAToolBox/gaot/Genetic Algorithm ToolboxWritten & distributed by Andy Chipperfield (Sheffield University, UK)/uni/projects/gaipp/gatbx.htmlManual: /~gaipp/ga-toolbox/manual.pdfGenetic and Evolutionary Algorithm Toolbox (GEATbx)/Evolutionary Algorithms for MATLAB/links/ea_matlab.htmlGenetic/Evolutionary Algorithms for MATLABhttp://www.systemtechnik.tu-ilmenau.de/~pohlheim/EA_Matlab/ea_matlab.html GraphicsVideoToolbox (C routines for visual psychophysics on Macs by Denis Pelli)/VideoToolbox/Paper: /pelli/pubs/pelli1997videotoolbox.pdf4D toolbox/~daniel/links/matlab/4DToolbox.htmlImages (Top)Eyelink Toolbox/eyelinktoolbox/Paper: /eyelinktoolbox/EyelinkToolbox.pdfCellStats: Automated statistical analysis of color-stained cell images in Matlabhttp://sigwww.cs.tut.fi/TICSP/CellStats/SDC Morphology Toolbox for MATLAB (powerful collection of latest state-of-the-art gray-scale morphological tools that can be applied to image segmentation, non-linear filtering, pattern recognition and image analysis)/Image Acquisition Toolbox/products/imaq/Halftoning Toolbox for MATLAB/~bevans/projects/halftoning/toolbox/index.htmlDIPimage - A Scientific Image Processing Toolbox for MATLABhttp://www.ph.tn.tudelft.nl/DIPlib/dipimage_1.htmlPNM Toolboxhttp://home.online.no/~pjacklam/matlab/software/pnm/index.htmlAnotherICA / KICA and KPCA (Top)ICA TU Toolboxhttp://mole.imm.dtu.dk/toolbox/menu.htmlMISEP Linear and Nonlinear ICA Toolboxhttp://neural.inesc-id.pt/~lba/ica/mitoolbox.htmlKernel Independant Component Analysis/~fbach/kernel-ica/index.htmMatlab: kernel-ica version 1.2KPCA- Please check the software section of kernel machines.KernelStatistical Pattern Recognition Toolboxhttp://cmp.felk.cvut.cz/~xfrancv/stprtool/MATLABArsenal A MATLAB Wrapper for Classification/tmp/MATLABArsenal.htmMarkov (Top)MapHMMBOX 1.1 - Matlab toolbox for Hidden Markov Modelling using Max. Aposteriori EM Prerequisites: Matlab 5.0, Netlab. Last Updated: 18 March 2002./~parg/software/maphmmbox_1_1.tarHMMBOX 4.1 - Matlab toolbox for Hidden Markov Modelling using Variational Bayes Prerequisites: Matlab 5.0,Netlab. Last Updated: 15 February 2002../~parg/software/hmmbox_3_2.tar/~parg/software/hmmbox_4_1.tarMarkov Decision Process (MDP) Toolbox for MatlabKevin Murphy, 1999/~murphyk/Software/MDP/MDP.zipMarkov Decision Process (MDP) Toolbox v1.0 for MATLABhttp://www.inra.fr/bia/T/MDPtoolbox/Hidden Markov Model (HMM) Toolbox for Matlab/~murphyk/Software/HMM/hmm.htmlBayes Net Toolbox for Matlab/~murphyk/Software/BNT/bnt.htmlMedical (Top)EEGLAB Open Source Matlab Toolbox for Physiological Research (formerly ICA/EEG Matlabtoolbox)/~scott/ica.htmlMATLAB Biomedical Signal Processing Toolbox/Toolbox/Powerful package for neurophysiological data analysis ( Igor Kagan webpage)/Matlab/Unitret.htmlEEG / MRI Matlab Toolbox/Microarray data analysis toolbox (MDAT): for normalization, adjustment and analysis of gene expression_r data.Knowlton N, Dozmorov IM, Centola M. Department of Arthritis and Immunology, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA 73104. We introduce a novel Matlab toolbox for microarray data analysis. This toolbox uses normalization based upon a normally distributed background and differential gene expression_r based on 5 statistical measures. The objects in this toolbox are open source and can be implemented to suit your application. AVAILABILITY: MDAT v1.0 is a Matlab toolbox and requires Matlab to run. MDAT is freely available at:/publications/2004/knowlton/MDAT.zipMIDI (Top)MIDI Toolbox version 1.0 (GNU General Public License)http://www.jyu.fi/musica/miditoolbox/Misc. (Top)MATLAB-The Graphing Tool/~abrecht/matlab.html3-D Circuits The Circuit Animation Toolbox for MATLAB/other/3Dcircuits/SendMailhttp://carol.wins.uva.nl/~portegie/matlab/sendmail/Coolplothttp://www.reimeika.ca/marco/matlab/coolplots.htmlMPI (Matlab Parallel Interface)Cornell Multitask Toolbox for MATLAB/Services/Software/CMTM/Beolab Toolbox for v6.5Thomas Abrahamsson (Professor, Chalmers University of Technology, Applied Mechanics,Göteborg, Sweden)http://www.mathworks.nl/matlabcentral/fileexchange/loadFile.do?objectId=1216&objectType =filePARMATLABNeural Networks (Top)SOM Toolboxhttp://www.cis.hut.fi/projects/somtoolbox/Bayes Net Toolbox for Matlab/~murphyk/Software/BNT/bnt.htmlNetLab/netlab/Random Neural Networks/~ahossam/rnnsimv2/ftp: ftp:///pub/contrib/v5/nnet/rnnsimv2/NNSYSID Toolbox (tools for neural network based identification of nonlinear dynamic systems) http://www.iau.dtu.dk/research/control/nnsysid.htmlOceanography (Top)WAFO. Wave Analysis for Fatigue and Oceanographyhttp://www.maths.lth.se/matstat/wafo/ADCP toolbox for MATLAB (USGS, USA)Presented at the Hydroacoustics Workshop in Tampa and at ADCP's in Action in San Diego /operations/stg/pubs/ADCPtoolsSEA-MAT - Matlab Tools for Oceanographic AnalysisA collaborative effort to organize and distribute Matlab tools for the Oceanographic Community /Ocean Toolboxhttp://www.mar.dfo-mpo.gc.ca/science/ocean/epsonde/programming.htmlEUGENE D. GALLAGHER(Associate Professor, Environmental, Coastal & Ocean Sciences)/edgwebp.htmOptimization (Top)MODCONS - a MATLAB Toolbox for Multi-Objective Control System Design/mecheng/jfw/modcons.htmlLazy Learning Packagehttp://iridia.ulb.ac.be/~lazy/SDPT3 version 3.02 -- a MATLAB software for semidefinite-quadratic-linear programming .sg/~mattohkc/sdpt3.htmlMinimum Enclosing Balls: Matlab Code/meb/SOSTOOLS Sum of Squares Optimi zation Toolbox for MATLAB User’s guide/sostools/sostools.pdfPSOt - a Particle Swarm Optimization Toolbox for use with MatlabBy Brian Birge ... A Particle Swarm Optimization Toolbox (PSOt) for use with the Matlab scientific programming environment has been developed. PSO isintroduced briefly and then the use of the toolbox is explained with some examples. A link to downloadable code is provided.Plot/software/plotting/gbplot/Signal Processing (Top)Filter Design with Motorola DSP56Khttp://www.ee.ryerson.ca:8080/~mzeytin/dfp/index.htmlChange Detection and Adaptive Filtering Toolboxhttp://www.sigmoid.se/Signal Processing Toolbox/products/signal/ICA TU Toolboxhttp://mole.imm.dtu.dk/toolbox/menu.htmlTime-Frequency Toolbox for Matlabhttp://crttsn.univ-nantes.fr/~auger/tftb.htmlVoiceBox - Speech Processing Toolbox/hp/staff/dmb/voicebox/voicebox.htmlLeast Squared - Support Vector Machines (LS-SVM)http://www.esat.kuleuven.ac.be/sista/lssvmlab/WaveLab802 : the Wavelet ToolboxBy David Donoho, Mark Reynold Duncan, Xiaoming Huo, Ofer Levi /~wavelab/Time-series Matlab scriptshttp://wise-obs.tau.ac.il/~eran/MATLAB/TimeseriesCon.htmlUvi_Wave Wavelet Toolbox Home Pagehttp://www.gts.tsc.uvigo.es/~wavelets/index.htmlAnotherSupport Vector Machine (Top)MATLAB Support Vector Machine ToolboxDr Gavin CawleySchool of Information Systems, University of East Anglia/~gcc/svm/toolbox/LS-SVM - SISTASVM toolboxes/dmi/svm/LSVM Lagrangian Support Vector Machine/dmi/lsvm/Statistics (Top)Logistic regression/SAGA/software/saga/Multi-Parametric Toolbox (MPT) A tool (not only) for multi-parametric optimization. http://control.ee.ethz.ch/~mpt/ARfit: A Matlab package for the estimation of parameters and eigenmodes of multivariate autoregressive modelshttp://www.mat.univie.ac.at/~neum/software/arfit/The Dimensional Analysis Toolbox for MATLABHome: http://www.sbrs.de/Paper: http://www.isd.uni-stuttgart.de/~brueckner/Papers/similarity2002.pdfFATHOM for Matlab/personal/djones/PLS-toolbox/Multivariate analysis toolbox (N-way Toolbox - paper)http://www.models.kvl.dk/source/nwaytoolbox/index.aspClassification Toolbox for Matlabhttp://tiger.technion.ac.il/~eladyt/classification/index.htmMatlab toolbox for Robust Calibrationhttp://www.wis.kuleuven.ac.be/stat/robust/toolbox.htmlStatistical Parametric Mapping/spm/spm2.htmlEVIM: A Software Package for Extreme Value Analysis in Matlabby Ramazan Gençay, Faruk Selcuk and Abdurrahman Ulugulyagci, 2001.Manual (pdf file) evim.pdf - Software (zip file) evim.zipTime Series Analysishttp://www.dpmi.tu-graz.ac.at/~schloegl/matlab/tsa/Bayes Net Toolbox for MatlabWritten by Kevin Murphy/~murphyk/Software/BNT/bnt.htmlOther: /information/toolboxes.htmlARfit: A Matlab package for the estimation of parameters and eigenmodes of multivariate autoregressive models/~tapio/arfit/M-Fithttp://www.ill.fr/tas/matlab/doc/mfit4/mfit.htmlDimensional Analysis Toolbox for Matlab/The NaN-toolbox: A statistic-toolbox for Octave and Matlab®... handles data with and without MISSING VALUES.http://www-dpmi.tu-graz.ac.at/~schloegl/matlab/NaN/Iterative Methods for Optimization: Matlab Codes/~ctk/matlab_darts.htmlMultiscale Shape Analysis (MSA) Matlab Toolbox 2000p.br/~cesar/projects/multiscale/Multivariate Ecological & Oceanographic Data Analysis (FATHOM)From David Jones/personal/djones/glmlab (Generalized Linear Models in MATLA.au/staff/dunn/glmlab/glmlab.htmlSpacial and Geometric Analysis (SaGA) toolboxInteresting audio links with FAQ, VC++, on the topic机器学习网站北京大学视觉与听觉信息处理实验室北京邮电大学模式识别与智能系统学科复旦大学智能信息处理开放实验室IEEE Computer Society北京映象站点计算机科学论坛机器人足球赛模式识别国家重点实验室南京航空航天大学模式识别与神经计算实验室- PARNEC南京大学机器学习与数据挖掘研究所- LAMDA南京大学人工智能实验室南京大学软件新技术国家重点实验室人工生命之园数据挖掘研究院微软亚洲研究院中国科技大学人工智能中心中科院计算所中科院计算所生物信息学实验室中科院软件所中科院自动化所中科院自动化所人工智能实验室ACL Special Interest Group on Natural Language Learning (SIGNLL)ACMACM Digital LibraryACM SIGARTACM SIGIRACM SIGKDDACM SIGMODAdaptive Computation Group at University of New MexicoAI at Johns HopkinsAI BibliographiesAI Topics: A dynamic online library of introductory information about artificial intelligence Ant Colony OptimizationARIES Laboratory: Advanced Research in Intelligent Educational SystemsArtificial Intelligence Research in Environmental Sciences (AIRIES)Austrian Research Institute for AI (OFAI)Back Issues of Neuron DigestBibFinder: a computer science bibliography search engine 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DatabaseGenetic Algorithms Digest ArchiveGenetic Programming BibliographyGesture Recognition HomepageHCI Bibliography Project contain extended bibliographic information (abstract, key words, table of contents, section headings) for most publications Human-Computer Interaction dating back to 1980 and selected publications before 1980IBM ResearchIEEEIEEE Computer SocietyIEEE Neural Networks SocietyIllinois Genetic Algorithms Laboratory (IlliGAL)ILP Network of ExcellenceInductive Learning at University of Illinoise at Urbana-ChampaignIntelligent Agents RepositoryIntellimedia Project at North Carolina State UniversityInteractive Artificial Intelligence ResourcesInternational Association of Pattern RecognitionInternational Biometric Industry AssociationInternational Joint Conference on Artificial Intelligence (IJCAI)International Machine Learning Society (IMLS)International Neural Network Society (INNS)Internet Softbot Research at University of WashingtonJapanese Neural Network Society 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matlab工具箱如何安装

matlab工具箱如何安装在matlab的file下面的set path把它加上，把路径加进去后在：file→Preferences→General的Toolbox Path Caching里点击update Toolbox Path Cache更新一下。

以下是我在别的地方看到的，转过来你参考一下吧。

首先说说添加到matlab搜索路径好处：1 对n——你只需要存储一个副本，就可以在其他地方使用。

具体来说，假设你在数据盘D上新建了两个目录abc和def，这两个工程（每个目录下的所有程序相应地称为一个工程）都需要调用同一个（些）函数（简称工具箱），这时候，如果你没有把该工具箱添加到matlab 的搜索路径下，则需要分别把工具箱中所有用到的文件都复制到目录abc和def下才能正确运行。

这显然浪费空间，所以，matlab提供了一个搜索路径（默认在matlab安装目录下的toolbox中），只要把工具箱对应的整个文件夹复制到搜索路径对应的目录下，并且通知matlab一声（把该路径正确添加到搜索路径中），就可以在abc和def中使用这个工具箱了（即无论你的工程文件在哪个目录（有效的目录）下都可以访问这个工具箱中的函数）。

下面就以matlab安装目录下的toolbox目录作为默认的添加路径进行详细说明。

1. 如何添加工具箱？以下是添加工具箱的方法：如果是Matlab安装光盘上的工具箱，重新执行安装程序，选中即可。

如果是单独下载的工具箱，则需要把新的工具箱（以下假设工具箱名字为svm）解压到toolbox目录下，然后用addpath或者pathtool 把该工具箱的路径添加到matlab的搜索路径中，最后用which newtoolbox_command.m来检验是否可以访问。

如果能够显示新设置的路径，则表明该工具箱可以使用了。

具体请看工具箱自己代的README 文件。

1.1 举例：要添加的工具箱为svm，则解压后，里边有一个目录svm，假设matlab安装在D:\MATLAB6p5，将svm目录拷贝至D:\MATLAB6p5\toolbox，然后运行matlab，在命令窗口输入addpath D:\MATLAB6p5\toolbox\svm回车，来添加路径。

MATLABNeuralNetworkToolbox使用教程

MATLABNeuralNetworkToolbox使用教程第一章：MATLAB简介和Neural Network Toolbox概述MATLAB是一种强大的数值计算软件，广泛应用于科学计算、数据分析和工程设计等领域。

在MATLAB的众多工具箱中，Neural Network Toolbox（神经网络工具箱）是一款重要且强大的工具，用于构建和训练神经网络模型。

本章将从MATLAB的引入开始，介绍Neural Network Toolbox的概述和重要性，为后续章节做好铺垫。

第二章：Neural Network Toolbox安装和加载在本章中，将介绍如何安装Neural Network Toolbox并加载相关的函数和工具。

首先，从MathWorks官方网站下载最新版本的MATLAB软件，并完成安装。

然后，通过MATLAB软件的"Add-Ons"管理界面，找到Neural Network Toolbox并进行安装。

最后，通过命令行或图形界面方式，加载Neural Network Toolbox以便后续使用。

第三章：建立神经网络模型本章将介绍如何使用Neural Network Toolbox创建一个由多个神经元构成的神经网络模型。

首先，需在MATLAB中创建一个新的神经网络对象，通过指定网络的层数和每层的神经元数量来定义网络结构。

接着，可以选择不同的激活函数和训练算法，并设置相关的参数。

最后，通过操作神经网络对象的属性，进行网络模型的定义和配置。

第四章：数据准备和特征提取神经网络的性能很大程度上依赖于输入数据的质量和特征提取的能力。

本章将介绍如何对原始数据进行处理和准备，以便于神经网络的训练和测试。

具体而言，将介绍如何进行数据预处理、特征缩放、特征选择和特征转换等操作，以提取出对神经网络训练有意义的特征。

第五章：网络训练和优化本章将详细介绍神经网络的训练和优化过程。

首先，将介绍常见的训练算法，如反向传播算法、梯度下降法和随机梯度下降法等。

matlab工具箱安装教程

1.1 如果是Matlab安装光盘上的工具箱，重新执行安装程序，选中即可；1.2 如果是单独下载的工具箱，一般情况下仅需要把新的工具箱解压到某个目录。

2 在matlab的file下面的set path把它加上。

3 把路径加进去后在file→Preferences→General的Toolbox Path Caching里点击update Toolbox Path Cache更新一下。

4 用which newtoolbox_command.m来检验是否可以访问。

如果能够显示新设置的路径，则表明该工具箱可以使用了。

把你的工具箱文件夹放到安装目录中“toolbox”文件夹中，然后单击“file”菜单中的“setpath”命令，打开“setpath”对话框，单击左边的“ADDFolder”命令，然后选择你的那个文件夹，最后单击“SAVE”命令就OK了。

MATLAB Toolboxes＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝/zsmcode.htmlBinaural-modeling software for MATLAB/Windows/home/Michael_Akeroyd/download2.htmlStatistical Parametric Mapping (SPM)/spm/ext/BOOTSTRAP MATLAB TOOLBOX.au/downloads/bootstrap_toolbox.htmlThe DSS package for MATLABDSS Matlab package contains algorithms for performing linear, deflation and symmetric DSS. http://www.cis.hut.fi/projects/dss/package/Psychtoolbox/download.htmlMultisurface Method Tree with MATLAB/~olvi/uwmp/msmt.htmlA Matlab Toolbox for every single topic !/~baum/toolboxes.htmleg. BrainStorm - MEG and EEG data visualization and processingCLAWPACK is a software package designed to compute numerical solutions to hyperbolic partial differential equations using a wave propagation approach/~claw/DIPimage - Image Processing ToolboxPRTools - Pattern Recognition Toolbox (+ Neural Networks)NetLab - Neural Network ToolboxFSTB - Fuzzy Systems ToolboxFusetool - Image Fusion Toolboxhttp://www.metapix.de/toolbox.htmWAVEKIT - Wavelet ToolboxGat - Genetic Algorithm ToolboxTSTOOL is a MATLAB software package for nonlinear time series analysis.TSTOOL can be used for computing: Time-delay reconstruction, Lyapunov exponents, Fractal dimensions, Mutual information, Surrogate data tests, Nearest neighbor statistics, Return times, Poincare sections, Nonlinear predictionhttp://www.physik3.gwdg.de/tstool/MATLAB / Data description toolboxA Matlab toolbox for data description, outlier and novelty detectionMarch 26, 2004 - D.M.J. Taxhttp://www-ict.ewi.tudelft.nl/~davidt/dd_tools/dd_manual.htmlMBEhttp://www.pmarneffei.hku.hk/mbetoolbox/Betabolic network toolbox for Matlabhttp://www.molgen.mpg.de/~lieberme/pages/network_matlab.htmlPharmacokinetics toolbox for Matlabhttp://page.inf.fu-berlin.de/~lieber/seiten/pbpk_toolbox.htmlThe SpiderThe spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with, e.g model selection, statistical tests and visual plots. This gives all the power of objects (reusability, plug together, share code) but also all the power of Matlab for machine learning research.http://www.kyb.tuebingen.mpg.de/bs/people/spider/index.htmlSchwarz-Christoffel Toolbox/matlabcentral/fileexchange/loadFile.do?objectId=1316&objectT ype=file#XML Toolbox/matlabcentral/fileexchange/loadFile.do?objectId=4278&object Type=fileFIR/TDNN Toolbox for MATLABBeta version of a toolbox for FIR (Finite Impulse Response) and TD (Time Delay) NeuralNetworks./interval-comp/dagstuhl.03/oish.pdfMisc.http://www.dcsc.tudelft.nl/Research/Software/index.htmlAstronomySaturn and Titan trajectories ... MALTAB astronomy/~abrecht/Matlab-codes/AudioMA Toolbox for Matlab Implementing Similarity Measures for Audiohttp://www.oefai.at/~elias/ma/index.htmlMAD - Matlab Auditory Demonstrations/~martin/MAD/docs/mad.htmMusic Analysis - Toolbox for Matlab : Feature Extraction from Raw Audio Signals for Content-Based Music Retrihttp://www.ai.univie.ac.at/~elias/ma/WarpTB - Matlab Toolbox for Warped DSPBy Aki Härmä and Matti Karjalainenhttp://www.acoustics.hut.fi/software/warp/MATLAB-related Softwarehttp://www.dpmi.tu-graz.ac.at/~schloegl/matlab/Biomedical Signal data formats (EEG machine specific file formats with Matlab import routines)http://www.dpmi.tu-graz.ac.at/~schloegl/matlab/eeg/MPEG Encoding library for MATLAB Movies (Created by David Foti)It enables MATLAB users to read (MPGREAD) or write (MPGWRITE) MPEG movies. That should help Video Quality project.Filter Design packagehttp://www.ee.ryerson.ca:8080/~mzeytin/dfp/index.htmlOctave by Christophe COUVREUR (Generates normalized A-weigthing, C-weighting, octave and one-third-octave digital filters)/matlabcentral/fileexchange/loadFile.do?objectType=file&object Id=69Source Coding MATLAB Toolbox/users/kieffer/programs.htmlBio Medical Informatics (Top)CGH-Plotter: MATLAB Toolbox for CGH-data AnalysisCode: http://sigwww.cs.tut.fi/TICSP/CGH-Plotter/Poster: http://sigwww.cs.tut.fi/TICSP/CSB2003/Posteri_CGH_Plotter.pdfThe Brain Imaging Software Toolboxhttp://www.bic.mni.mcgill.ca/software/MRI Brain Segmentation/matlabcentral/fileexchange/loadFile.do?objectId=4879Chemometrics (providing PCA) (Top)Matlab Molecular Biology & Evolution Toolbox(Toolbox Enables Evolutionary Biologists to Analyze and View DNA and Protein Sequences) James J. Caihttp://www.pmarneffei.hku.hk/mbetoolbox/Toolbox provided by Prof. Massart research grouphttp://minf.vub.ac.be/~fabi/publiek/Useful collection of routines from Prof age smilde research grouphttp://www-its.chem.uva.nl/research/pacMultivariate Toolbox written by Rune Mathisen/~mvartools/index.htmlMatlab code and datasetshttp://www.acc.umu.se/~tnkjtg/chemometrics/dataset.htmlChaos (Top)Chaotic Systems Toolbox/matlabcentral/fileexchange/loadFile.do?objectId=1597&objectT ype=file#HOSA Toolboxhttp://www.mathworks.nl/matlabcentral/fileexchange/loadFile.do?objectId=3013&objectTy pe=fileChemistry (Top)MetMAP - (Metabolical Modeling, Analysis and oPtimization alias Met. M. A. P.)http://webpages.ull.es/users/sympbst/pag_ing/pag_metmap/index.htmDoseLab - A set of software programs for quantitative comparison of measured and computed radiation dose distributions/GenBank Overview/Genbank/GenbankOverview.htmlMatlab: /matlabcentral/fileexchange/loadFile.do?objectId=1139CodingCode for the estimation of Scaling Exponentshttp://www.cubinlab.ee.mu.oz.au/~darryl/secondorder_code.htmlControl (Top)Control Tutorial for Matlab/group/ctm/AnotherCommunications (Top)Channel Learning Architecture toolbox(This Matlab toolbox is a supplement to the article "HiperLearn: A High Performance Learning Architecture")http://www.isy.liu.se/cvl/Projects/hiperlearn/Source Coding MATLAB Toolbox/users/kieffer/programs.htmlTCP/UDP/IP Toolbox 2.0.4/matlabcentral/fileexchange/loadFile.do?objectId=345&objectT ype=fileHome Networking Basis: Transmission Environments and Wired/Wireless Protocols Walter Y. Chen/support/books/book5295.jsp?category=new&language=-1MATLAB M-files and Simulink models/matlabcentral/fileexchange/loadFile.do?objectId=3834&object Type=file•OPNML/MATLAB Facilities/OPNML_Matlab/Mesh Generation/home/vavasis/qmg-home.htmlOpenFEM : An Open-Source Finite Element Toolbox/CALFEM is an interactive computer program for teaching the finite element method (FEM)http://www.byggmek.lth.se/Calfem/frinfo.htmThe Engineering Vibration Toolbox/people/faculty/jslater/vtoolbox/vtoolbox.htmlSaGA - Spatial and Geometric Analysis Toolboxby Kirill K. Pankratov/~glenn/kirill/saga.htmlMexCDF and NetCDF Toolbox For Matlab-5&6/staffpages/cdenham/public_html/MexCDF/nc4ml5.htmlCUEDSID: Cambridge University System Identification Toolbox/jmm/cuedsid/Kriging Toolbox/software/Geostats_software/MATLAB_KRIGING_TOOLBOX.htmMonte Carlo (Dr Nando)http://www.cs.ubc.ca/~nando/software.htmlRIOTS - The Most Powerful Optimal Control Problem Solver/~adam/RIOTS/ExcelMATLAB xlsheets/matlabcentral/fileexchange/loadFile.do?objectId=4474&objectTy pe=filewrite2excel/matlabcentral/fileexchange/loadFile.do?objectId=4414&objectTy pe=fileFinite Element Modeling (FEM) (Top)OpenFEM - An Open-Source Finite Element Toolbox/NLFET - nonlinear finite element toolbox for MATLAB ( framework for setting up, solving, and interpreting results for nonlinear static and dynamic finite element analysis.)/GetFEM - C++ library for finite element methods elementary computations with a Matlabinterfacehttp://www.gmm.insa-tlse.fr/getfem/FELIPE - FEA package to view results ( contains neat interface to MATLA/~blstmbr/felipe/Finance (Top)A NEW MATLAB-BASED TOOLBOX FOR COMPUTER AIDED DYNAMIC TECHNICAL TRADINGStephanos Papadamou and George StephanidesDepartment of Applied Informatics, University Of Macedonia Economic & Social Sciences, Thessaloniki, Greece/fen31/one_time_articles/dynamic_tech_trade_matlab6.htm Paper: :8089/eps/prog/papers/0201/0201001.pdfCompEcon Toolbox for Matlab/~pfackler/compecon/toolbox.htmlGenetic Algorithms (Top)The Genetic Algorithm Optimization Toolbox (GAOT) for Matlab 5/mirage/GAToolBox/gaot/Genetic Algorithm ToolboxWritten & distributed by Andy Chipperfield (Sheffield University, UK)/uni/projects/gaipp/gatbx.htmlManual: /~gaipp/ga-toolbox/manual.pdfGenetic and Evolutionary Algorithm Toolbox (GEATbx)/Evolutionary Algorithms for MATLAB/links/ea_matlab.htmlGenetic/Evolutionary Algorithms for MATLABhttp://www.systemtechnik.tu-ilmenau.de/~pohlheim/EA_Matlab/ea_matlab.html GraphicsVideoToolbox (C routines for visual psychophysics on Macs by Denis Pelli)/VideoToolbox/Paper: /pelli/pubs/pelli1997videotoolbox.pdf4D toolbox/~daniel/links/matlab/4DToolbox.htmlImages (Top)Eyelink Toolbox/eyelinktoolbox/Paper: /eyelinktoolbox/EyelinkToolbox.pdfCellStats: Automated statistical analysis of color-stained cell images in Matlabhttp://sigwww.cs.tut.fi/TICSP/CellStats/SDC Morphology Toolbox for MATLAB (powerful collection of latest state-of-the-art gray-scale morphological tools that can be applied to image segmentation, non-linear filtering, pattern recognition and image analysis)/Image Acquisition Toolbox/products/imaq/Halftoning Toolbox for MATLAB/~bevans/projects/halftoning/toolbox/index.htmlDIPimage - A Scientific Image Processing Toolbox for MATLABhttp://www.ph.tn.tudelft.nl/DIPlib/dipimage_1.htmlPNM Toolboxhttp://home.online.no/~pjacklam/matlab/software/pnm/index.htmlAnotherICA / KICA and KPCA (Top)ICA TU Toolboxhttp://mole.imm.dtu.dk/toolbox/menu.htmlMISEP Linear and Nonlinear ICA Toolboxhttp://neural.inesc-id.pt/~lba/ica/mitoolbox.htmlKernel Independant Component Analysis/~fbach/kernel-ica/index.htmMatlab: kernel-ica version 1.2KPCA- Please check the software section of kernel machines.KernelStatistical Pattern Recognition Toolboxhttp://cmp.felk.cvut.cz/~xfrancv/stprtool/MATLABArsenal A MATLAB Wrapper for Classification/tmp/MATLABArsenal.htmMarkov (Top)MapHMMBOX 1.1 - Matlab toolbox for Hidden Markov Modelling using Max. Aposteriori EM Prerequisites: Matlab 5.0, Netlab. Last Updated: 18 March 2002./~parg/software/maphmmbox_1_1.tarHMMBOX 4.1 - Matlab toolbox for Hidden Markov Modelling using Variational Bayes Prerequisites: Matlab 5.0,Netlab. Last Updated: 15 February 2002../~parg/software/hmmbox_3_2.tar/~parg/software/hmmbox_4_1.tarMarkov Decision Process (MDP) Toolbox for MatlabKevin Murphy, 1999/~murphyk/Software/MDP/MDP.zipMarkov Decision Process (MDP) Toolbox v1.0 for MATLABhttp://www.inra.fr/bia/T/MDPtoolbox/Hidden Markov Model (HMM) Toolbox for Matlab/~murphyk/Software/HMM/hmm.htmlBayes Net Toolbox for Matlab/~murphyk/Software/BNT/bnt.htmlMedical (Top)EEGLAB Open Source Matlab Toolbox for Physiological Research (formerly ICA/EEG Matlabtoolbox)/~scott/ica.htmlMATLAB Biomedical Signal Processing Toolbox/Toolbox/Powerful package for neurophysiological data analysis ( Igor Kagan webpage)/Matlab/Unitret.htmlEEG / MRI Matlab Toolbox/Microarray data analysis toolbox (MDAT): for normalization, adjustment and analysis of gene expression_r data.Knowlton N, Dozmorov IM, Centola M. Department of Arthritis and Immunology, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA 73104. We introduce a novel Matlab toolbox for microarray data analysis. This toolbox uses normalization based upon a normally distributed background and differential gene expression_r based on 5 statistical measures. The objects in this toolbox are open source and can be implemented to suit your application. AVAILABILITY: MDAT v1.0 is a Matlab toolbox and requires Matlab to run. MDAT is freely available at:/publications/2004/knowlton/MDAT.zipMIDI (Top)MIDI Toolbox version 1.0 (GNU General Public License)http://www.jyu.fi/musica/miditoolbox/Misc. (Top)MATLAB-The Graphing Tool/~abrecht/matlab.html3-D Circuits The Circuit Animation Toolbox for MATLAB/other/3Dcircuits/SendMailhttp://carol.wins.uva.nl/~portegie/matlab/sendmail/Coolplothttp://www.reimeika.ca/marco/matlab/coolplots.htmlMPI (Matlab Parallel Interface)Cornell Multitask Toolbox for MATLAB/Services/Software/CMTM/Beolab Toolbox for v6.5Thomas Abrahamsson (Professor, Chalmers University of Technology, Applied Mechanics,Göteborg, Sweden)http://www.mathworks.nl/matlabcentral/fileexchange/loadFile.do?objectId=1216&objectType =filePARMATLABNeural Networks (Top)SOM Toolboxhttp://www.cis.hut.fi/projects/somtoolbox/Bayes Net Toolbox for Matlab/~murphyk/Software/BNT/bnt.htmlNetLab/netlab/Random Neural Networks/~ahossam/rnnsimv2/ftp: ftp:///pub/contrib/v5/nnet/rnnsimv2/NNSYSID Toolbox (tools for neural network based identification of nonlinear dynamic systems) http://www.iau.dtu.dk/research/control/nnsysid.htmlOceanography (Top)WAFO. Wave Analysis for Fatigue and Oceanographyhttp://www.maths.lth.se/matstat/wafo/ADCP toolbox for MATLAB (USGS, USA)Presented at the Hydroacoustics Workshop in Tampa and at ADCP's in Action in San Diego /operations/stg/pubs/ADCPtoolsSEA-MAT - Matlab Tools for Oceanographic AnalysisA collaborative effort to organize and distribute Matlab tools for the Oceanographic Community /Ocean Toolboxhttp://www.mar.dfo-mpo.gc.ca/science/ocean/epsonde/programming.htmlEUGENE D. GALLAGHER(Associate Professor, Environmental, Coastal & Ocean Sciences)/edgwebp.htmOptimization (Top)MODCONS - a MATLAB Toolbox for Multi-Objective Control System Design/mecheng/jfw/modcons.htmlLazy Learning Packagehttp://iridia.ulb.ac.be/~lazy/SDPT3 version 3.02 -- a MATLAB software for semidefinite-quadratic-linear programming .sg/~mattohkc/sdpt3.htmlMinimum Enclosing Balls: Matlab Code/meb/SOSTOOLS Sum of Squares Optimi zation Toolbox for MATLAB User’s guide/sostools/sostools.pdfPSOt - a Particle Swarm Optimization Toolbox for use with MatlabBy Brian Birge ... A Particle Swarm Optimization Toolbox (PSOt) for use with the Matlab scientific programming environment has been developed. PSO isintroduced briefly and then the use of the toolbox is explained with some examples. A link to downloadable code is provided.Plot/software/plotting/gbplot/Signal Processing (Top)Filter Design with Motorola DSP56Khttp://www.ee.ryerson.ca:8080/~mzeytin/dfp/index.htmlChange Detection and Adaptive Filtering Toolboxhttp://www.sigmoid.se/Signal Processing Toolbox/products/signal/ICA TU Toolboxhttp://mole.imm.dtu.dk/toolbox/menu.htmlTime-Frequency Toolbox for Matlabhttp://crttsn.univ-nantes.fr/~auger/tftb.htmlVoiceBox - Speech Processing Toolbox/hp/staff/dmb/voicebox/voicebox.htmlLeast Squared - Support Vector Machines (LS-SVM)http://www.esat.kuleuven.ac.be/sista/lssvmlab/WaveLab802 : the Wavelet ToolboxBy David Donoho, Mark Reynold Duncan, Xiaoming Huo, Ofer Levi /~wavelab/Time-series Matlab scriptshttp://wise-obs.tau.ac.il/~eran/MATLAB/TimeseriesCon.htmlUvi_Wave Wavelet Toolbox Home Pagehttp://www.gts.tsc.uvigo.es/~wavelets/index.htmlAnotherSupport Vector Machine (Top)MATLAB Support Vector Machine ToolboxDr Gavin CawleySchool of Information Systems, University of East Anglia/~gcc/svm/toolbox/LS-SVM - SISTASVM toolboxes/dmi/svm/LSVM Lagrangian Support Vector Machine/dmi/lsvm/Statistics (Top)Logistic regression/SAGA/software/saga/Multi-Parametric Toolbox (MPT) A tool (not only) for multi-parametric optimization. http://control.ee.ethz.ch/~mpt/ARfit: A Matlab package for the estimation of parameters and eigenmodes of multivariate autoregressive modelshttp://www.mat.univie.ac.at/~neum/software/arfit/The Dimensional Analysis Toolbox for MATLABHome: http://www.sbrs.de/Paper: http://www.isd.uni-stuttgart.de/~brueckner/Papers/similarity2002.pdfFATHOM for Matlab/personal/djones/PLS-toolbox/Multivariate analysis toolbox (N-way Toolbox - paper)http://www.models.kvl.dk/source/nwaytoolbox/index.aspClassification Toolbox for Matlabhttp://tiger.technion.ac.il/~eladyt/classification/index.htmMatlab toolbox for Robust Calibrationhttp://www.wis.kuleuven.ac.be/stat/robust/toolbox.htmlStatistical Parametric Mapping/spm/spm2.htmlEVIM: A Software Package for Extreme Value Analysis in Matlabby Ramazan Gençay, Faruk Selcuk and Abdurrahman Ulugulyagci, 2001.Manual (pdf file) evim.pdf - Software (zip file) evim.zipTime Series Analysishttp://www.dpmi.tu-graz.ac.at/~schloegl/matlab/tsa/Bayes Net Toolbox for MatlabWritten by Kevin Murphy/~murphyk/Software/BNT/bnt.htmlOther: /information/toolboxes.htmlARfit: A Matlab package for the estimation of parameters and eigenmodes of multivariate autoregressive models/~tapio/arfit/M-Fithttp://www.ill.fr/tas/matlab/doc/mfit4/mfit.htmlDimensional Analysis Toolbox for Matlab/The NaN-toolbox: A statistic-toolbox for Octave and Matlab®... handles data with and without MISSING VALUES.http://www-dpmi.tu-graz.ac.at/~schloegl/matlab/NaN/Iterative Methods for Optimization: Matlab Codes/~ctk/matlab_darts.htmlMultiscale Shape Analysis (MSA) Matlab Toolbox 2000p.br/~cesar/projects/multiscale/Multivariate Ecological & Oceanographic Data Analysis (FATHOM)From David Jones/personal/djones/glmlab (Generalized Linear Models in MATLA.au/staff/dunn/glmlab/glmlab.htmlSpacial and Geometric Analysis (SaGA) toolboxInteresting audio links with FAQ, VC++, on the topic机器学习网站北京大学视觉与听觉信息处理实验室北京邮电大学模式识别与智能系统学科复旦大学智能信息处理开放实验室IEEE Computer Society北京映象站点计算机科学论坛机器人足球赛模式识别国家重点实验室南京航空航天大学模式识别与神经计算实验室- PARNEC南京大学机器学习与数据挖掘研究所- LAMDA南京大学人工智能实验室南京大学软件新技术国家重点实验室人工生命之园数据挖掘研究院微软亚洲研究院中国科技大学人工智能中心中科院计算所中科院计算所生物信息学实验室中科院软件所中科院自动化所中科院自动化所人工智能实验室ACL Special Interest Group on Natural Language Learning (SIGNLL)ACMACM Digital LibraryACM SIGARTACM SIGIRACM SIGKDDACM SIGMODAdaptive Computation Group at University of New MexicoAI at Johns HopkinsAI BibliographiesAI Topics: A dynamic online library of introductory information about artificial intelligence Ant Colony OptimizationARIES Laboratory: Advanced Research in Intelligent Educational SystemsArtificial Intelligence Research in Environmental Sciences (AIRIES)Austrian Research Institute for AI (OFAI)Back Issues of Neuron DigestBibFinder: a computer science bibliography search engine integrating many other engines BioAPI ConsortiumBiological and Computational Learning Center at MITBiometrics ConsortiumBoosting siteBrain-Style Information Systems Research Group at RIKEN Brain Science Institute, Japan British Computer Society Specialist Group on Expert SystemsCanadian Society for Computational Studies of Intelligence (CSCSI)CI Collection of BibTex DatabasesCITE, the first-stop source for computational intelligence information and services on the web Classification Society of North AmericaCMU Advanced Multimedia Processing GroupCMU Web->KB ProjectCognitive and Neural Systems Department of Boston UniversityCognitive Sciences Eprint Archive (CogPrints)COLT: Computational Learning TheoryComputational Neural Engineering Laboratory at the University of FloridaComputational Neurobiology Lab at California, USAComputer Science Department of National University of SingaporeData Mining Server Online held by Rudjer Boskovic InstituteDatabase Group at Simon Frazer University, CanadaDBLP: Computer Science BibliographyDigital Biology: about creating artificial lifeDistributed AI Unit at Queen Mary & Westfield College, University of LondonDistributed Artificial Intelligence at HUJIDSI Neural Networks group at the Université di Firenze, ItalyEA-related literature at the EvALife research group at DAIMI, University of Aarhus, Denmark Electronic Research Group at Aberdeen UniversityElsevierComputerScienceEuropean Coordinating Committee for Artificial Intelligence (ECCAI)European Network of Excellence in ML (MLnet)European Neural Network Society (ENNS)Evolutionary Computing Group at University of the West of EnglandEvolutionary Multi-Objective Optimization RepositoryExplanation-Based Learning at University of Illinoise at Urbana-ChampaignFace Detection HomepageFace Recognition Vendor TestFace Recognition HomepageFace Recognition Research CommunityFingerpassftp of Jude Shavlik's Machine Learning Group (University of Wisconsin-Madison)GA-List Searchable DatabaseGenetic Algorithms Digest ArchiveGenetic Programming BibliographyGesture Recognition HomepageHCI Bibliography Project contain extended bibliographic information (abstract, key words, table of contents, section headings) for most publications Human-Computer Interaction dating back to 1980 and selected publications before 1980IBM ResearchIEEEIEEE Computer SocietyIEEE Neural Networks SocietyIllinois Genetic Algorithms Laboratory (IlliGAL)ILP Network of ExcellenceInductive Learning at University of Illinoise at Urbana-ChampaignIntelligent Agents RepositoryIntellimedia Project at North Carolina State UniversityInteractive Artificial Intelligence ResourcesInternational Association of Pattern RecognitionInternational Biometric Industry AssociationInternational Joint Conference on Artificial Intelligence (IJCAI)International Machine Learning Society (IMLS)International Neural Network Society (INNS)Internet Softbot Research at University of WashingtonJapanese Neural Network Society (JNNS)Java Agents for Meta-Learning Group (JAM) at Computer Science Department, Columbia University, for Fraud and Intrusion Detection Using Meta-Learning AgentsKernel MachinesKnowledge Discovery MineLaboratory for Natural and Simulated Cognition at McGill University, CanadaLearning Laboratory at Carnegie Mellon UniversityLearning Robots Laboratory at Carnegie Mellon UniversityLaboratoire d'Informatique et d'Intelligence Artificielle (IIA-ENSAIS)Machine Learning Group of Sydney University, AustraliaMammographic Image Analysis SocietyMDL Research on the WebMirek's Cellebration: 1D and 2D Cellular Automata explorerMIT Artificial Intelligence LaboratoryMIT Media LaboratoryMIT Media Laboratory Vision and Modeling GroupMLNET: a European network of excellence in Machine Learning, Case-based Reasoning and Knowledge AcquisitionMLnet Machine Learning Archive at GMD includes papers, software, and data sets MIRALab at University of Geneva: leading research on virtual human simulationNeural Adaptive Control Technology (NACT)Neural Computing Research Group at Aston University, UKNeural Information Processing Group at Technical University of BerlinNIPSNIPS OnlineNeural Network Benchmarks, Technical Reports,and Source Code maintained by Scott Fahlman at CMU; source code includes Quickprop, Cascade-Correlation, Aspirin/Migraines Neural Networks FAQ by Lutz PrecheltNeural Networks FAQ by Warren S. SarleNeural Networks: Freeware and Shareware ToolsNeural Network Group at Department of Medical Physics and Biophysics, University ofNeural Network Group at Université Catholique de LouvainNeural Network Group at Eindhoven University of TechnologyNeural Network Hyperplane Animator program that allows easy visualization of training data and weights in a back-propagation neural networkNeural Networks Research at TUT/ELENeural Networks Research Centre at Helsinki University of Technology, FinlandNeural Network Speech Group at Carnegie Mellon UniversityNeural Text Classification with Neural NetworksNonlinearity and Complexity HomepageOFAI and IMKAI library information system, provided by the Department of Medical Cybernetics and Artificial Intelligence at the University of Vienna (IMKAI) and the Austrian Research Institute for Artificial Intelligence (OFAI). It contains over 36,000 items (books, research papers, conference papers, journal articles) from many subareas of AI OntoWeb: Ontology-based information exchange for knowledge management and electronic commercePortal on Neural Network ForecastingPRAG: Pattern Recognition and Application Group at University of CagliariQuest Project at IBM Almaden Research Center: an academic website focusing on classification and regression trees. Maintained by Tjen-Sien LimReinforcement Learning at Carnegie Mellon UniversityResearchIndex: NECI Scientific Literature Digital Library, indexing over 200,000 computer science articlesReVision: Reviewing Vision in the Web!RIKEN: The Institute of Physical and Chemical Research, JapanSalford SystemsSANS Studies of Artificial Neural Systems, at the Royal Institute of Technology, Sweden Santa-Fe InstituteScirus: a search engine locating scientific information on the InternetSecond Moment: The News and Business Resource for Applied AnalyticsSEL-HPC Article Archive has sections for neural networks, distributed AI, theorem proving, and a variety of other computer science topicsSOAR Project at University of Southern CaliforniaSociety for AI and StatisticsSVM of ANU CanberraSVM of Bell LabsSVM of GMD-First BerlinSVM of MITSVM of Royal Holloway CollegeSVM of University of SouthamptonSVM-workshop at NIPS97TechOnLine: TechOnLine University offers free online courses and lecturesUCI Machine Learning GroupUMASS Distributed Artificial Intelligence LaboratoryUTCS Neural Networks Research Group of Artificial Intelligence Lab, Computer Science Department, University of Texas at AustinVivisimo Document Clustering: a powerful search engine which returns clustered results Worcester Polytechnic Institute Artificial Intelligence Research Group (AIRG)Xerion neural network simulator developed and used by the connectionist group at the University of TorontoYale's CTAN Advanced Technology Center for Theoretical and Applied Neuroscience ZooLand: Artificial Life Resource。

如何为matlab添加工具包-(自动保存的)

为Matlab添加工具包我电脑上matlab的路径所在。

D:\Program Files\MATLAB\R2012a\toolbox\mbc\mbcview\@cgtools\@inversionpane首先说说添加到matlab搜索路径好处：1 对 n——你只需要存储一个副本，就可以在其他地方使用。

具体来说，假设你在数据盘D上新建了两个目录abc和def，这两个工程（每个目录下的所有程序相应地称为一个工程）都需要调用同一个（些）函数（简称工具箱），这时候，如果你没有把该工具箱添加到matlab的搜索路径下，则需要分别把工具箱中所有用到的文件都复制到目录abc和def下才能正确运行。

这显然浪费空间，所以，matlab提供了一个搜索路径（默认在matlab安装目录下的toolbox中），只要把工具箱对应的整个文件夹复制到搜索路径对应的目录下，并且通知matlab一声（把该路径正确添加到搜索路径中），就可以在abc和def中使用这个工具箱了（即无论你的工程文件在哪个目录（有效的目录）下都可以访问这个工具箱中的函数）。

下面就以matlab安装目录下的toolbox目录作为默认的添加路径进行详细说明。

1. 如何添加工具箱？以下是添加工具箱的方法：（论坛很多人转载过，这里就不作区分了，下面的举例也一样）如果是Matlab安装光盘上的工具箱，重新执行安装程序，选中即可。

如果是单独下载的工具箱，则需要把新的工具箱（以下假设工具箱名字为svm）解压到toolbox目录下，然后用addpath或者pathtool把该工具箱的路径添加到matlab的搜索路径中，最后用which newtoolbox_command.m来检验是否可以访问。

如果能够显示新设置的路径，则表明该工具箱可以使用了。

具体请看工具箱自己代的README文件。

1.1 举例：要添加的工具箱为svm，则解压后，里边有一个目录svm，假设matlab安装在D:/MATLAB6p5，将svm目录拷贝至D:/MATLAB6p5/toolbox，然后运行matlab，在命令窗口输入addpath D:/MATLAB6p5/toolbox/svm回车，来添加路径。

matlab中SVM工具箱的使用方法

matlab中SVM工具箱的使用方法1,下载SVM工具箱:/faculty/chzheng/bishe/indexfil es/indexl.htm2,安装到matlab文件夹中1)将下载的SVM工具箱的文件夹放在\matlab71\toolbox\下2)打开matlab->File->Set Path中添加SVM工具箱的文件夹现在,就成功的添加成功了.可以测试一下:在matlab中输入which svcoutput 回车,如果可以正确显示路径,就证明添加成功了,例如:C:\Program Files\MATLAB71\toolbox\svm\svcoutput.m 3,用SVM做分类的使用方法1)在matlab中输入必要的参数:X,Y,ker,C,p1,p2我做的测试中取的数据为:N = 50;n=2*N;randn('state',6);x1 = randn(2,N)y1 = ones(1,N);x2 = 5+randn(2,N);y2 = -ones(1,N);figure;plot(x1(1,:),x1(2,:),'bx',x2(1,:),x2(2,:),'k.');axis([-3 8 -3 8]);title('C-SVC')hold on;X1 = [x1,x2];Y1 = [y1,y2];X=X1';Y=Y1';其中,X是100*2的矩阵,Y是100*1的矩阵C=Inf;ker='linear';global p1 p2p1=3;p2=1;然后,在matlab中输入:[nsv alpha bias] = svc(X,Y,ker,C),回车之后,会显示:Support Vector Classification_____________________________Constructing ...Optimising ...Execution time: 1.9 secondsStatus : OPTIMAL_SOLUTION|w0|^2 : 0.418414Margin : 3.091912Sum alpha : 0.418414Support Vectors : 3 (3.0%)nsv =3alpha =0.00000.00000.00000.00000.00002)输入预测函数,可以得到与预想的分类结果进行比较.输入:predictedY = svcoutput(X,Y,X,ker,alpha,bias),回车后得到:predictedY =1111111113)画图输入:svcplot(X,Y,ker,alpha,bias),回车#Matlab。

Matlab的常见问题

>************************************************************************< > Matlab的常见问题>************************************************************************< Matlab的常见问题目录：===================================1).Matlab 6.X在Windows 2000/XP上无法启动2).我有一组x,y,z值，非规则排列，如何在Matlab中绘图？3).如何在给定句柄的axis里绘图?4).由Matlab符号运算得到的公式怎么才能将数据代进去运算？5).在Matlab中如何求最值点？如何求一维数组的极值？6).Matlab中如何作线性拟合/线性回归/多元线性回归？7).Matlab中如何作圆回归？8).Matlab中如何绘制箭头？9).Matlab中如何作二维数据的插值?10).Matlab中如何绘制三维数据阵？11).Matlab中如何注解一大段代码？12).Matlab中如何计算程序运行的时间？13).Matlab中如何改变默认的工作路径？14).Matlab如何改变默认的图形字体?15).如何在Matlab中实现交互操作？16).Matlab中为什么只能在小数点后显示四位?17).Matlab如何在命令窗口按照格式输出？18).如何在Matlab中画隐函数曲线？19).Matlab中什么函数可以删除矩阵的某一行或列？20).Matlab中能开的最大数组是由什么决定的？21).如何在Matlab中添加新的工具箱？22).如何读写Matlab的.mat文件？23).如何得到contour线上的坐标点？24).如何将Matlab绘制的三维网格图帖到word里？25).请问可以查看Matlab中函数的源代码吗?26).Matlab有没有求矩阵行数/列数/维数的函数？27).Matlab中如何中断运算？28).Matlab中有没有画圆或椭圆的函数？29).Matlab下如何定义整形30).Matlab如何产生均匀分布的白噪声?31).在Matlab中debug的时候能否跟踪变量的?32).请问在Matlab中怎样输入特殊符号啊或者上标、下标？33).Matlab中如何后台运行一个DOS程序?34).Matlab如何加载输入文件(批处理模式)？35).Matlab如何启动时执行规定的文件？36).如何在Matlab GUI中使用图形背景？37).大量数据点Matlab绘图为什么很慢？38).Matlab中如何求解广义积分？即积分限到有无穷的或者有歧异点的积分(瑕积分)？39).为什么我的Matlab程序这么慢？40).Matlab中如何作非线性回归？41).Matlab中为什么我对m文件、simulink模块，mat文件的修改不起作用呢？42).Matlab中，函数里面怎样使用基本工作空间中的变量，为什么inline函数不能使用外面的变量？43).怎样在Simulink中调用m文件？44).Matlab中怎样进行数制转换？45).matlab中的*.p是什么文件？怎么用？46).在Matlab中有goto语句吗？47).请问matlab6.X的那个matlab server是做什么的？48).Matlab中如何用鼠标取得坐标?49).Matlab中有阶乘函数吗？50).怎样才能把Maltab学精？51).Matlab如何计算大阶乘？Matlab的常见问题解答===================================1)Matlab 6.X在Windows 2000/XP上无法启动:#highsun,2001/3/2, SMTH/NewSoftware #MathWorks的解决办法虽然是针对繁体中文系统的，我试过在简体中文系统下一样可以用。

matlab工具箱的安装方法 ROBOT工具箱精解

robotic toolbox for matlab工具箱下载地址：/source/9407701. PUMA560的MATLAB仿真要建立PUMA560的机器人对象，首先我们要了解PUMA560的D-H参数，之后我们可以利用Robotics Toolbox工具箱中的link和robot函数来建立PUMA560的机器人对象。

其中link函数的调用格式：L = LINK([alpha A theta D])L =LINK([alpha A theta D sigma])L =LINK([alpha A theta D sigma offset])L =LINK([alpha A theta D], CONVENTION)L =LINK([alpha A theta D sigma], CONVENTION)L =LINK([alpha A theta D sigma offset], CONVENTION)参数CONVENTION可以取‘standard’和‘modified’，其中‘standard’代表采用标准的D-H参数，‘modified’代表采用改进的D-H参数。

参数‘alpha’代表扭转角，参数‘A’代表杆件长度，参数‘theta’代表关节角，参数‘D’代表横距，参数‘sigma’代表关节类型：0代表旋转关节，非0代表移动关节。

另外LINK还有一些数据域：LINK.alpha %返回扭转角LINK.A %返回杆件长度LINK.theta %返回关节角LINK.D %返回横距LINK.sigma %返回关节类型LINK.RP %返回‘R’(旋转)或‘P’(移动)LINK.mdh %若为标准D-H参数返回0，否则返回1LINK.offset %返回关节变量偏移LINK.qlim %返回关节变量的上下限[min max]LINK.islimit(q) %如果关节变量超限，返回-1, 0, +1LINK.I %返回一个3×3 对称惯性矩阵LINK.m %返回关节质量LINK.r %返回3×1的关节齿轮向量LINK.G %返回齿轮的传动比LINK.Jm %返回电机惯性LINK.B %返回粘性摩擦LINK.Tc %返回库仑摩擦LINK.dh return legacy DH rowLINK.dyn return legacy DYN row其中robot函数的调用格式：ROBOT %创建一个空的机器人对象ROBOT(robot) %创建robot的一个副本ROBOT(robot, LINK) %用LINK来创建新机器人对象来代替robotROBOT(LINK, ...) %用LINK来创建一个机器人对象ROBOT(DH, ...) %用D-H矩阵来创建一个机器人对象ROBOT(DYN, ...) %用DYN矩阵来创建一个机器人对象2．变换矩阵利用MATLAB中Robotics Toolbox工具箱中的transl、rotx、roty和rotz可以实现用齐次变换矩阵表示平移变换和旋转变换。

MATLAB机器人工具箱简单教程：（一）安装说明

机器人学工具箱robotictoolbookformatlab是matlab中专门用于机器人仿真的工具箱在机器人建模轨迹规划控制可视化方面使用非常方便
MATLAB机器人工具箱简单教程：（一）安装说明
机器人学工具箱（Robotic Toolbook for Matlab) 是matlab中专门用于机器人仿真的工具箱，在机器人建模、轨迹规划、控制、可视化方面使用非常方便。本篇介绍该工具箱的安装方法。这里用的版本是robotic toolbox for matlab (release 9.1)，可以从我的网盘下载链接：密码：r84y 1.把下载后的压缩包解压，得到一个名为robot-9.10的文件夹。
rvctools就是机器人工具箱；pdf和doc文件是使用说明。 2.将rvctools文件夹放在你的matlab安装目录ቤተ መጻሕፍቲ ባይዱ的toolbox文件夹下
比如我的matlab是装在D盘的。 3.打开matlab，我这里版本是2016b，设置路径
保存并关闭。 4.运行rvctools文件夹下的startup_rvc.m文件，安装完成。

如何为matlab添加工具包 (自动保存的)-推荐下载

为Matlab添加工具包我电脑上matlab的路径所在。

D:\Program Files\MATLAB\R2012a\toolbox\mbc\mbcview\@cgtools\@inversionpane首先说说添加到matlab搜索路径好处：1 对n——你只需要存储一个副本，就可以在其他地方使用。

具体来说，假设你在数据盘D上新建了两个目录abc和def，这两个工程（每个目录下的所有程序相应地称为一个工程）都需要调用同一个（些）函数（简称工具箱），这时候，如果你没有把该工具箱添加到matlab的搜索路径下，则需要分别把工具箱中所有用到的文件都复制到目录abc和def下才能正确运行。

这显然浪费空间，所以，matlab提供了一个搜索路径（默认在matlab安装目录下的toolbox中），只要把工具箱对应的整个文件夹复制到搜索路径对应的目录下，并且通知matlab一声（把该路径正确添加到搜索路径中），就可以在abc和def中使用这个工具箱了（即无论你的工程文件在哪个目录（有效的目录）下都可以访问这个工具箱中的函数）。

下面就以matlab安装目录下的toolbox目录作为默认的添加路径进行详细说明。

1. 如何添加工具箱？以下是添加工具箱的方法：（论坛很多人转载过，这里就不作区分了，下面的举例也一样）如果是Matlab安装光盘上的工具箱，重新执行安装程序，选中即可。

如果是单独下载的工具箱，则需要把新的工具箱（以下假设工具箱名字为svm）解压到toolbox目录下，然后用addpath或者pathtool把该工具箱的路径添加到matlab的搜索路径中，最后用which newtoolbox_command.m来检验是否可以访问。

如果能够显示新设置的路径，则表明该工具箱可以使用了。

具体请看工具箱自己代的README文件。

1.1 举例：要添加的工具箱为svm，则解压后，里边有一个目录svm，假设matlab安装在D:/MATLAB6p5，将svm目录拷贝至D:/MATLAB6p5/toolbox，然后运行matlab，在命令窗口输入addpath D:/MATLAB6p5/toolbox/svm回车，来添加路径。

Matlab如何添加新的工具箱

Matlab如何添加新的工具箱-经验总结（适合菜鸟）因为是菜鸟，所以我写的也很详细，实际上也是为自己备忘，嘻嘻1，我是单独下载的工具箱，把新的工具箱拷贝到某个目录（我的是C:\ProgramFiles\MATLAB\R2008a\toolbox）。

注意：你要是添加的很多个m文件，那就把这些m文件直接拷到再下一层你想要的工具箱的文件夹里例如，我要添加的是遗传工具箱，在刚才的文件夹下我已经有gads（遗传工具箱）文件夹了，但有的m文件还没有，我就把新的m文件统统拷到C:\ProgramFiles\MATLAB\R2008a\toolbox\gads目录下了如果你连某工具箱（你打算添加的）的文件夹都没有，那就把文件夹和文件一起拷到C:\Program Files\MATLAB\R2008a\toolbox下。

先把工具箱保存到MATLAB安装目录的根目录下面，然后运行matlab7---->file---->set path---->add folder 然后把你的工具箱文件夹添加进去就可以了2 在matlab的菜单file下面的set path把它（C:\ProgramFiles\MATLAB\R2008a\toolbox\gads）加上。

3 把路径加进去后在file→Preferences→General的Toolbox Path Caching里点击update Toolbox Path Cache更新一下。

记得一定要更新！我就是没更新，所以添加了路径，一运行还是不行。

后来更新了才行。

4 用which newtoolbox_command.m来检验是否可以访问。

如果能够显示新设置的路径，则表明该工具箱可以使用了。

这个我也不知道怎么用。

怎么检验？在命令窗口输入which newtoolbox_command.m？还是打开which newtoolbox_command.m文件（我搜索了，没找到这个文件啊）我一直没搞懂。

matlab中SVM工具箱的使用方法

matlab中SVM工具箱的使用方法1,下载SVM工具箱:2,安装到matlab文件夹中1)将下载的SVM工具箱的文件夹放在\matlab71\toolbox\下2)打开matlab->File->Set Path中添加SVM工具箱的文件夹现在,就成功的添加成功了.可以测试一下:在matlab中输入which svcoutput 回车,如果可以正确显示路径,就证明添加成功了,例如:C:\Program Files\MATLAB71\toolbox\svm\svcoutput.m 3,用SVM做分类的使用方法1)在matlab中输入必要的参数:X,Y,ker,C,p1,p2我做的测试中取的数据为:N = 50;n=2*N;randn('state',6);x1 = randn(2,N)y1 = ones(1,N);x2 = 5+randn(2,N);y2 = -ones(1,N);figure;plot(x1(1,:),x1(2,:),'bx',x2(1,:),x2(2,:),'k.');axis([-3 8 -3 8]);title('C-SVC')hold on;X1 = [x1,x2];Y1 = [y1,y2];X=X1';Y=Y1';其中,X是100*2的矩阵,Y是100*1的矩阵C=Inf;ker='linear';global p1 p2p1=3;p2=1;然后,在matlab中输入:[nsv alpha bias] = svc(X,Y,ker,C),回车之后,会显示:Support Vector Classification_____________________________Constructing ...Optimising ...Execution time: 1.9 secondsStatus : OPTIMAL_SOLUTION|w0|^2 : 0.418414Margin : 3.091912Sum alpha : 0.418414Support Vectors : 3 (3.0%)nsv =3alpha =0.00000.00000.00000.00000.00002)输入预测函数,可以得到与预想的分类结果进行比较.输入:predictedY = svcoutput(X,Y,X,ker,alpha,bias),回车后得到:predictedY =1111111113)画图输入:svcplot(X,Y,ker,alpha,bias),回车#Matlab一、因为要用到SVM，所以想先在matlab下学习一下，简短讲添加工具箱很简单：1.1：如果是Matlab安装光盘上的工具箱，重新执行安装程序，选中即可。

matlab中gurobi的安装方法

Matlab 是一个高级技术计算语言和交互式环境。

Gurobi 是一种用于数学规划的快速优化器，它在许多领域都有应用，如运输、能源、金融等。

本文主要介绍在 Matlab 中安装 Gurobi 的方法。

1. 准备工作在安装 Gurobi 前，需要确保已经安装了 Matlab 和 Gurobi 优化器。

可以从全球信息站下载安装文件，并按照冠方指南进行安装。

在安装完成后，需要获得 Gurobi 的许可证文件，这个文件包含了许可证密钥和注册信息。

2. 安装 Gurobi MATLAB 工具箱在安装完成 Gurobi 优化器后，接下来需要安装 Gurobi MATLAB 工具箱。

打开 MATLAB 环境，在命令窗口中输入以下命令来添加Gurobi MATLAB 工具箱的路径：```matlabaddpath('/path/to/gurobi/matlab');```这个路径是 Gurobi MATLAB 工具箱的安装路径，可以根据实际安装情况进行修改。

3. 设置 Gurobi 许可证文件在安装 Gurobi 优化器时，会得到一个许可证文件，通常是以 ".grb" 结尾的文件。

将这个文件保存在一个指定的路径下，然后在 MATLAB 中设置 Gurobi 的许可证文件路径。

在 MATLAB 命令窗口中输入以下命令：```matlabgurobi_setup('path/to/gurobi.lic');```这个命令会将 Gurobi 许可证文件的路径添加到 MATLAB 的搜索路径中，从而使 MATLAB 能够找到 Gurobi 优化器。

4. 测试安装是否成功在完成以上步骤后，可以通过简单的测试来验证 Gurobi 在 MATLAB 中的安装是否成功。

在 MATLAB 命令窗口中输入以下代码：```matlabmodel.A = sparse([1 1; 1 -1]);model.obj = [1 -1];model.rhs = [1; 1];model.sense = '<>';params.OutputFlag = 0;result = gurobi(model, params);disp(result.objval);```这段代码会创建一个简单的线性规划模型，然后使用 Gurobi 进行求解。

matlab中SVM工具箱的使用方法

包已经解压到文件夹F:\R2009b\toolbox\svmmatlab中SVM工具箱的使用方法1,下载SVM工具箱:/faculty/chzheng/bishe/indexfiles/indexl.htm 2,安装到matlab文件夹中1)将下载的SVM工具箱的文件夹放在\matlab71\toolbox\下2)打开matlab->File->Set Path中添加SVM工具箱的文件夹现在,就成功的添加成功了.可以测试一下:在matlab中输入which svcoutput 回车,如果可以正确显示路径,就证明添加成功了,例如:C:\Program Files\MATLAB71\toolbox\svm\svcoutput.m3,用SVM做分类的使用方法1)在matlab中输入必要的参数:X,Y,ker,C,p1,p2我做的测试中取的数据为:N = 50;n=2*N;randn('state',6);x1 = randn(2,N)y1 = ones(1,N);x2 = 5+randn(2,N);y2 = -ones(1,N);figure;plot(x1(1,:),x1(2,:),'bx',x2(1,:),x2(2,:),'k.');axis([-3 8 -3 8]);title('C-SVC')hold on;X1 = [x1,x2];Y1 = [y1,y2];X=X1';Y=Y1';其中,X是100*2的矩阵,Y是100*1的矩阵C=Inf;ker='linear';global p1 p2p1=3;p2=1;然后,在matlab中输入:[nsv alpha bias] = svc(X,Y,ker,C),回车之后,会显示:Support Vector Classification_____________________________Constructing ...Optimising ...Execution time: 1.9 secondsStatus : OPTIMAL_SOLUTION|w0|^2 : 0.418414Margin : 3.091912Sum alpha : 0.418414Support Vectors : 3 (3.0%)nsv =3alpha =0.00000.00000.00000.00000.00002)输入预测函数,可以得到与预想的分类结果进行比较.输入:predictedY = svcoutput(X,Y,X,ker,alpha,bias),回车后得到:predictedY =1111111113)画图输入:svcplot(X,Y,ker,alpha,bias),回车补充:X和Y为数据,m*n:m为样本数,n为特征向量数比如:取20组训练数据X,10组有故障,10组无故障的,每个训练数据有13个特征参数,则m=20,n=13Y为20*1的矩阵,其中,10组为1,10组为-1.对于测试数据中,如果取6组测试数据,3组有故障,3组无故障的,则m=6,n=13Y中,m=6,n=1/SV M_soft.htmlSVM - Support Vector MachinesSoftwareTrain support vector machine classifier/access/helpdesk/help/toolbox/bioinfo/ref/svmtrain.html一些问题？？？？？？？1.今天我在使用SVM通用工具箱对眼电的信号数据进行分类时出现如下错误：Support Vector Classification_____________________________Constructing ...Optimising ...??? Dimension error (arg 3 and later).Error in ==> svc at 60[alpha lambda how] = qp(H, c, A, b, vlb, vub, x0, neqcstr);不知道是什么原因？答：今天上午终于找到出现这一错误的原因：它并不是SVM程序的问题，是我在整理样本时，把参数需要的样本行列颠倒所致。

matlab神经网络工具箱怎么用

matlab神经网络工具箱怎么用标题：Matlab神经网络工具箱的使用方法导言：Matlab神经网络工具箱是一个功能强大的工具，用于建立、训练和评估各种类型的神经网络。

本文将介绍如何使用Matlab神经网络工具箱进行神经网络的建立、训练和评估，帮助您更好地理解和使用这个工具箱。

一、Matlab神经网络工具箱的安装首先，您需要确保已成功安装了Matlab软件。

然后，您可以通过以下步骤来安装Matlab神经网络工具箱：1. 打开Matlab软件。

2. 在工具栏上选择“工具”菜单。

3. 在下拉菜单中选择“添加预定目录”。

4. 在弹出的窗口中，选择“文件夹”选项。

5. 点击“浏览”按钮，并选择包含神经网络工具箱的文件夹。

6. 点击“选择文件夹”按钮，然后点击“添加文件夹”按钮。

7. 点击“关闭”按钮，完成神经网络工具箱的安装。

二、神经网络的建立Matlab神经网络工具箱提供了多种类型的神经网络模型，如前馈神经网络、递归神经网络和自组织神经网络。

下面我们以前馈神经网络为例，介绍神经网络的建立方法：1. 打开Matlab软件，并在命令窗口中输入“nprtool”命令，打开“神经网络模式选择器”窗口。

2. 在“神经网络模式选择器”窗口中，选择“构建”按钮。

3. 在“神经网络模式选择器”窗口中，选择“前馈神经网络”选项，并点击“下一步”按钮。

4. 在“选择网络架构”窗口中，选择神经网络的层数、神经元数量和输入、输出数据的维度。

5. 点击“下一步”按钮，然后点击“完成”按钮，完成神经网络的建立。

三、神经网络的训练神经网络的训练是指通过将已知的输入和输出数据进行反复迭代调整网络参数，从而使网络能够更好地拟合输入输出之间的关系。

下面我们介绍神经网络的训练方法：1.在命令窗口中输入“trainlm”命令，选择Levenberg-Marquardt算法作为训练函数。

2.输入训练数据和目标数据，通过“trains”命令开始训练神经网络。

matlab工具箱的安装方法 ROBOT工具箱精解

robotic toolbox for matlab工具箱下载地址：/source/9407701. PUMA560的MATLAB仿真要建立PUMA560的机器人对象，首先我们要了解PUMA560的D-H参数，之后我们可以利用Robotics Toolbox工具箱中的link和robot函数来建立PUMA560的机器人对象。

其中link函数的调用格式：L = LINK([alpha A theta D])L =LINK([alpha A theta D sigma])L =LINK([alpha A theta D sigma offset])L =LINK([alpha A theta D], CONVENTION)L =LINK([alpha A theta D sigma], CONVENTION)L =LINK([alpha A theta D sigma offset], CONVENTION)参数CONVENTION可以取‘standard’和‘modified’，其中‘standard’代表采用标准的D-H参数，‘modified’代表采用改进的D-H参数。

参数‘alpha’代表扭转角，参数‘A’代表杆件长度，参数‘theta’代表关节角，参数‘D’代表横距，参数‘sigma’代表关节类型：0代表旋转关节，非0代表移动关节。

另外LINK还有一些数据域：LINK.alpha %返回扭转角LINK.A %返回杆件长度LINK.theta %返回关节角LINK.D %返回横距LINK.sigma %返回关节类型LINK.RP %返回‘R’(旋转)或‘P’(移动)LINK.mdh %若为标准D-H参数返回0，否则返回1LINK.offset %返回关节变量偏移LINK.qlim %返回关节变量的上下限[min max]LINK.islimit(q) %如果关节变量超限，返回-1, 0, +1LINK.I %返回一个3×3 对称惯性矩阵LINK.m %返回关节质量LINK.r %返回3×1的关节齿轮向量LINK.G %返回齿轮的传动比LINK.Jm %返回电机惯性LINK.B %返回粘性摩擦LINK.Tc %返回库仑摩擦LINK.dh return legacy DH rowLINK.dyn return legacy DYN row其中robot函数的调用格式：ROBOT %创建一个空的机器人对象ROBOT(robot) %创建robot的一个副本ROBOT(robot, LINK) %用LINK来创建新机器人对象来代替robotROBOT(LINK, ...) %用LINK来创建一个机器人对象ROBOT(DH, ...) %用D-H矩阵来创建一个机器人对象ROBOT(DYN, ...) %用DYN矩阵来创建一个机器人对象2．变换矩阵利用MATLAB中Robotics Toolbox工具箱中的transl、rotx、roty和rotz可以实现用齐次变换矩阵表示平移变换和旋转变换。

matlab工具箱的安装

Matlab工具箱的安装下载工具箱，解压并记下其路路径，matlab的file下面的set path把它加上，把路径加进去后在file→Preferences→General的Toolbox Path Caching里点击update Toolbox Path Cache 更新一下，就OK了1.1 如果是Matlab安装光盘上的工具箱，重新执行安装程序，选中即可；1.2 如果是单独下载的工具箱，一般情况下仅需要把新的工具箱解压到某个目录。

2 在matlab的file下面的set path把它加上。

3 把路径加进去后在file→Preferences→General的Toolbox Path Caching里点击update Toolbox Path Cache更新一下。

4 用which newtoolbox_command.m来检验是否可以访问。

如果能够显示新设置的路径，则表明该工具箱可以使用了。

或者将工具箱复制到toolbox目录然后在set path里面添加这个目录就可以用了。

在matlab的file下面的set path把它加上，把路径加进去后在file→Preferences→General的Toolbox Path Caching里点击update Toolbox Path Cache更新一下，就OK了以下是我在别的地方看到的，转过来你参考一下吧。

首先说说添加到matlab搜索路径好处：1 对n——你只需要存储一个副本，就可以在其他地方使用。

具体来说，假设你在数据盘D上新建了两个目录abc和def，这两个工程（每个目录下的所有程序相应地称为一个工程）都需要调用同一个（些）函数（简称工具箱），这时候，如果你没有把该工具箱添加到matlab的搜索路径下，则需要分别把工具箱中所有用到的文件都复制到目录abc和def下才能正确运行。

这显然浪费空间，所以，matlab提供了一个搜索路径（默认在matlab安装目录下的toolbox中），只要把工具箱对应的整个文件夹复制到搜索路径对应的目录下，并且通知matlab一声（把该路径正确添加到搜索路径中），就可以在abc和def中使用这个工具箱了（即无论你的工程文件在哪个目录（有效的目录）下都可以访问这个工具箱中的函数）。

总结一下matlab添加工具箱的方法

总结一下matlab添加工具箱的方法
总结一下matlab添加工具箱的方法：第一种：如果是安装光盘上的工具箱，重新执行安装程序，选中即可。

如果是单独下载的工具箱，一般情况下仅需要把新的工具箱解压到某个目录，然后用pathtool添加工具箱的路径。

在命令窗口中敲入pathtool，会出现一个setpath 的窗口，点add folder或者add with subfolders按钮，选中你的工具箱。

保存既可。

任选工具箱中的一个命令，然后help一下看看是否好使。

字数限制
设菲尔德大学
将ranking.m第86行的end注释掉，程序就不出错了，但不知是否正确
我在MATLAB7中试了一下，需要将各文件的名称改成小写；所有的目标函数中有一个“swith”参数和matlab7的关键字冲突，随便改成“lswith”就可以了；还有一个关于Nargin函数，我忘了是哪个文件里了，大概是输入参数大于函数的默认参数个数时就硬性规定Nargin为2等等，将这一句前加个“％”就应该可以了，因为你总不能在调用一个只需2个参数的函数，输入3个参数吧？
这个工具箱我认为是目前所有关于遗传算法中最好的了，最让我满意的是它的编码，既可以用实数编码，也可以用位串和整数编码，很容易就能解决自己需要解决的问题。

至于更好的其他突变、选择函数的变化，那就是数学家的事情了。

我总是加大种群数目，突变概率，迭代次数等，让机器多麻烦几分钟，很快最优解也就出来了，^_^。

软件包里还有一些ps文件，转换成pdf格式就可以看了。

大家如果有什么问题可以讨论讨论！。