《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

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பைடு நூலகம்
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
7�RBF
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% 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);
NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB, NEWRB,
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
= = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = =
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