机器学习_Pumadyn family of datasets(Pumadyn家族数据集)

Pumadyn family of datasets(Pumadyn家族数据集)
数据摘要：
There are eight datastets in this family . They are all variations on the same model; a realistic simulation of the dynamics of a Puma 560 robot arm. The task in these datasets is to predict the angular accelaration of one of the robot arm's links.
中文关键词：
机器学习,机器人,Puma 560,机器臂,DELVE,
英文关键词：
Machine learning,Robot,Puma 560,Robot arm,DEL VE,
数据格式：
TEXT
数据用途：
The data can be used for Machine Learning, Regression and Evaluating Learning.
数据详细介绍：
Pumadyn family of datasets ∙Abstract
There are eight datastets in this family . They are all variations on the same model; a realistic simulation of the dynamics of a Puma 560 robot arm. The task in these datasets is to predict the angular accelaration of one of the robot arm's links.
∙Data Description
The inputs include angular positions, velocities and torques of the robot arm. The family has been specifically generated for the delve environment and so the individual datasets span the corners of a cube whose dimensions represent:
Number of inputs (8 or 32).
degree of non-linearity (fairly linear or non-linear)
amount of noise in the output (moderate or high).
Origin: Simulated
Usage: Assessment
Number of attributes: 9 or 33
Number of cases: 8192
Number of prototasks: 1
Number of methods run on this dataset: 25
All datasets in this family have "pumadyn" as the base of their name (PUMA DYNamics). A dash (-) is appended to this name, followed by:
An integer value signifying the number of input attributes in each case, for example `32'.
One of the characters `f' or `n' signifying `fairly linear' or `non-linear', respectively.
One of the characters `m' or `h' signifying `medium unpredictability/noise' or `high unpredictability/noise', respectively.
Each dataset has a single Prototask called "accel". Within each prototask are tasks with training set sizes from 64 to 1024, increasing by powers of two.
Contributed by: Zoubin Ghahramani, using the Matlab Robotics T oolbox (Release 3). The Matlab Robotics T oolbox was written by Peter I. Corke (1996) and is available freely from The MathWorks or from the author.
Reference
Corke, P. I. (1996). A Robotics T oolbox for MATLAB. IEEE Robotics and Automation Magazine, 3 (1): 24-32.
数据预览：
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