《Matlab神经网络30个案例分析》RBF网络的回归-非线性回归的实现

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24, MSE = 56.2971 25, MSE = 48.7566 26, MSE = 47.2739 27, MSE = 45.9051 28, MSE = 45.0112 29, MSE = 42.8181 30, MSE = 41.491 31, MSE = 35.6978 32, MSE = 35.0401 33, MSE = 31.7462 34, MSE = 30.1603 35, MSE = 29.2863 36, MSE = 28.3875 37, MSE = 26.2179 38, MSE = 24.2333 39, MSE = 21.639 40, MSE = 20.144 41, MSE = 18.4123 42, MSE = 15.9317 43, MSE = 14.5087 44, MSE = 11.1312 45, MSE = 8.44281 46, MSE = 6.90717 47, MSE = 5.66637 48, MSE = 4.84694 49, MSE = 4.38789 50, MSE = 3.67744 51, MSE = 3.51838 52, MSE = 3.23929 53, MSE = 2.91933 54, MSE = 2.5525 55, MSE = 2.07774 56, MSE = 1.58034 57, MSE = 1.4921 58, MSE = 1.04437 59, MSE = 0.968894 60, MSE = 0.874836 61, MSE = 0.811536 62, MSE = 0.774263 63, MSE = 0.739684 64, MSE = 0.63243 65, MSE = 0.595342 66, MSE = 0.578419 67, MSE = 0.513412 68, MSE = 0.431057 69, MSE = 0.348383 70, MSE = 0.28326 71, MSE = 0.260364 72, MSE = 0.233631 73, MSE = 0.17438 74, MSE = 0.140672 75, MSE = 0.127232 76, MSE = 0.107695 77, MSE = 0.0939278 78, MSE = 0.0755751 79, MSE = 0.0680948 80, MSE = 0.0523434 81, MSE = 0.0433914 82, MSE = 0.0417353 83, MSE = 0.0358314 84, MSE = 0.0308747 85, MSE = 0.0227491 86, MSE = 0.0191109 87, MSE = 0.016148 88, MSE = 0.01186 89, MSE = 0.00995707 90, MSE = 0.00970474 91, MSE = 0.00692245 92, MSE = 0.00604538 93, MSE = 0.00536777 94, MSE = 0.0040162 95, MSE = 0.00339511 96, MSE = 0.00291372 97, MSE = 0.0025272 98, MSE = 0.002166 99, MSE = 0.0018282 100, MSE = 0.00159732 101, MSE = 0.00146625 102, MSE = 0.00127549 103, MSE = 0.00112714 104, MSE = 0.00061357 105, MSE = 0.000556239 106, MSE = 0.000511452 107, MSE = 0.00039547 108, MSE = 0.000414003 109, MSE = 0.000375354 110, MSE = 0.000372545 111, MSE = 0.000363626 112, MSE = 0.000362367 113, MSE = 0.0003299 114, MSE = 0.00032986 115, MSE = 0.000322453 116, MSE = 0.000318573 117, MSE = 0.000277645
Contents 产 环 训练 ( 训练输 ,训练输 RBF 经 络 测试 RBF 络进 , 图 , 3维图 ) 络输
环
clc clear
产 ld 为
训练 数
( 训练输
,训练输
)
ld=400; % 产 2*ld 阵 x=rand(2,ld); % x转换 [-1.5 1.5] 之 x=(x-0.5)*1.5*2; % x 为x1 , x1=x(1,:); x2=x(2,:); 为x2.
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file:///D|/Mydesktop/30
视频
关/MATLAB
经
络30
码+数
/
/
7/html/chapter7_2.html[2010/11/20 20:09:27]
7�RBF
络
归-
线
数
归
现
NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB,
= = = = = = = = = = = = = = = = = = = = = = =
0, MSE = 108.563 2, MSE = 106.612 3, MSE = 106.588 4, MSE = 105.692 5, MSE = 103.957 6, MSE = 103.901 7, MSE = 103.661 8, MSE = 99.4239 9, MSE = 99.3709 10, MSE = 98.4437 11, MSE = 98.4334 12, MSE = 97.0947 13, MSE = 97.0662 14, MSE = 97.0623 15, MSE = 96.9707 16, MSE = 96.5273 17, MSE = 89.0728 18, MSE = 83.7398 19, MSE = 82.6886 20, MSE = 73.5795 21, MSE = 68.2986 22, MSE = 64.3154 23, MSE = 56.6795
file:///D|/Mydesktop/30
视频
关/MATLAB
经
络30
码+数
/
/
7/html/chapter7_2.html[2010/11/20 20:09:27]
7�RBF
络
归-
线
数
归
现
NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWR源自文库, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB,
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7�RBF
络
归-
线
数
归
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7 :RBF
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为: video.ourmatlab.com
video.ourmatlab.com/vbuy.html ») , 们 虑 加
% 计 络输 F值 F=20+x1.^2-10*cos(2*pi*x1)+x2.^2-10*cos(2*pi*x2);
RBF
经
络 经 络 spread 为 认值
approximate RBF
net=newrb(x,F);
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