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谢谢 ilikenba 的回复，我是新手，不太明白，研究了半天，编了一点东西，可运行出了问题，帮忙看看是怎么回事，如何修改，谢谢！ p=[ 40 21 2.5 6. 5
' F- y+ ]% t& J3 b 40 25 3. 6.5 10 - |% D6 ` ~0 B3 p& D1 A- {5 A
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8 ^* i, Y; h0 X- N! U4 V, e* |; i/ [ 45 25 3. 7. 20
% e0 L* q* _7 U1 A- j0 u2 b/ P 45 30 3.5 6. 5 - R |! K+ f2 _5 B# c3 ^
50 21 3. 6. 20
& T% @7 {! B' [/ x 50 25 3.5 6.5 5 2 E3 z* [* J5 \4 t
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40 21 3.5 7. 10
1 ^3 u/ W; X) b' F1 M 40 25 2.5 6. 20 , X/ X* [* _6 o3 }) ^6 G) X& D0 p ~
40 30 3. 6.5 5 - c. e0 x& H6 ]7 \4 e" x E
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50 25 2.5 7. 5
5 c; e9 r) x8 h' Z6 O 50 30 3. 6. 10]; t=[2.673;3.412;1.315;2.019;1.996;0.885;9.317;4.484;1.768;5.720;2.316;0.678;1.042;1.492;0.765;8.812;1.204;3.130];
5 V' q1 H. F9 K/ G" aT=t';# n# u4 [& Q) S, M' o. G8 k% X
P=p';; `- U: ~. q) C4 b
net=newff(minmax(P),[12,1],{'tansig','purelin'},'trainlm');: C# n, ` _ D: [. r* f6 m) q
%训练网络 net.trainParam.show=10;
4 W/ S5 s/ X' s' P%net.trainParam.lr=0.05;
* t6 `6 |# R2 p6 g) b%net.trainParam.lr_inc=1.05;2 q# P) j* F, ~- F+ {3 W/ M
net.trainParam.epochs=10000;
4 f& g7 y& J# ^; y. M ^/ Lnet.trainParam.goal=1e-5;
4 i/ v" q! C ^6 \( J r) V; E% randn('seed',192736547);
, o0 n' ^, z0 k9 W0 y' S% net=init(net);
& k ~# G2 T3 h- C$ r[net,tr]=train(net,P,T);7 v8 x+ P* P6 O" l4 o
minmax_var=minmax(P);
( }! p5 m$ U4 qminmax_target=minmax(T);( k2 Z7 y+ @* h: F
save('result','net','minmax_var','minmax_target'); % 将网络输 转换成
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load('result');
3 \4 f+ @6 ]" H% H6 E* Q [Pnew,endPop,bestSols,trace]=ga(minmax(P),'fitness');/ m+ ^" T+ Y$ X/ ], r% g
, M& ^ b4 R7 q: `( k: ^; {: d %性能跟踪
- R3 o6 `# `9 e: p1 t/ I) ^- Q plot(trace(:,1),trace(:,3),'y-');. J; q+ i: P, B" E
hold on
$ v: J4 Y. Y# Q plot(trace(:,1),trace(:,2),'r-');
6 v6 m3 f$ M6 _ X xlabel('Generation');2 A! \$ w& J( s- q5 O* H i- h
ylabel('Fitness');
5 j1 e8 o4 A1 ~" E legend('change of solution','average change of population');: ?5 L9 N) _* c
TRAINLM, Epoch 0/10000, MSE 12.2801/1e-005, Gradient 1739.63/1e-010
0 O. e# p1 n2 f' v! B+ T2 oTRAINLM, Epoch 10/10000, MSE 0.694955/1e-005, Gradient 93.6508/1e-0101 }0 `' I* C8 J5 Q
TRAINLM, Epoch 20/10000, MSE 0.0242391/1e-005, Gradient 2.89095/1e-010
/ v k! x, |- d# B) C# i) v0 W) ~TRAINLM, Epoch 30/10000, MSE 0.0206875/1e-005, Gradient 4.2655/1e-010
0 S) A/ L) f! J6 t6 dTRAINLM, Epoch 40/10000, MSE 0.0185878/1e-005, Gradient 18.249/1e-010
9 b' _3 e7 o; F- W* r4 t( N0 Y8 UTRAINLM, Epoch 50/10000, MSE 0.00947447/1e-005, Gradient 55.0854/1e-010
2 r% f" h" v0 H0 Y" `7 e4 hTRAINLM, Epoch 53/10000, MSE 1.24279e-006/1e-005, Gradient 0.504667/1e-010% ^4 w" Q, g6 }8 q
TRAINLM, Performance goal met. ??? Undefined function or variable 'minmax_target'. Error in ==> D:\MATLAB6p5p1\work\fitness.m/ ^& w0 y& z. W4 R* ^0 B: k+ |
On line 2 ==> min_target=minmax_target(1); Error in ==> D:\MATLAB6p5p1\work\initializega.m+ E% y- M4 Q$ ?9 s4 Q# }+ @
On line 41 ==> eval(estr); Error in ==> D:\MATLAB6p5p1\work\ga.m- {6 e% B+ d# t9 f- N2 r# z
On line 148 ==> startPop=initializega(80,bounds,evalFN,evalOps,opts(1:2));4 P2 m5 i( W3 e( B
所使用的适应度函数是 function [sol,eval]=fitness(P,options)
2 z/ Q" `$ R. _, T( r. P min_target=minmax_target(1);3 ^9 T$ I! N, Q/ s
max_target=minmax_target(2);
! Y7 E' f' p }$ ?9 @; c: ` eval=sim(net,P)
! }: I% ~$ j# s' q/ w( [ if isformax
% x0 ]% n1 Q8 e# \ {6 P( O B eval=eval-min_target+(max_target-min_target);- X5 I9 U/ I; z8 n/ Z7 f
else2 A* d4 c" G/ A! n4 s
eval=-eval+max_target+(max_target-min_target);
: c# U; ]; ` L+ @* S) ~; h end | 
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发表于 2005-1-22 22:42
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发表于 2005-1-23 12:26
