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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
% C# n1 C8 v' d$ G( Y+ K; f 40 25 3. 6.5 10
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45 25 3. 7. 20
; y* ?0 o9 ?0 {5 R9 m 45 30 3.5 6. 5
9 X1 t8 F6 H: a( V4 z- L m 50 21 3. 6. 20
2 I5 F M4 f1 ?* J# [: R* | 50 25 3.5 6.5 5
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& `! D% ?8 }3 |+ A 40 21 3.5 7. 10 + @3 G! y+ ?7 X' s' ~" k" g; Q
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40 30 3. 6.5 5
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50 21 3.5 6.5 20 ) M) }* V: [$ ~, b5 m
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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];' S8 B9 m$ i6 X+ w' |* D
T=t';; m0 [$ d* v7 ^1 O& Y# ~$ f0 ^
P=p';- E L" [- Z4 Q! R* K. d
net=newff(minmax(P),[12,1],{'tansig','purelin'},'trainlm');
& T: ^; K3 y# \$ N%训练网络 net.trainParam.show=10;6 }& D1 D) g7 A5 e$ @0 b
%net.trainParam.lr=0.05;# Y/ H" S3 U; v# c1 s
%net.trainParam.lr_inc=1.05;
2 z/ u) W9 G; i m3 \0 Nnet.trainParam.epochs=10000;# c* ~# `$ N x
net.trainParam.goal=1e-5; . r: u- c# z M( _9 y
% randn('seed',192736547);5 R1 o) L* Z- N5 E* n2 L; I
% net=init(net);' S5 c. c( ~. F& S) W
[net,tr]=train(net,P,T);
$ ^. S$ U" C. X2 A& pminmax_var=minmax(P);8 z7 k# k: F' |$ b9 p3 G. d
minmax_target=minmax(T);
6 h& v% J8 C" U9 R" Msave('result','net','minmax_var','minmax_target'); % 将网络输 转换成
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. C7 ~) b, X# }% w- u load('result');( a1 B0 q: ^0 @ S
[Pnew,endPop,bestSols,trace]=ga(minmax(P),'fitness');8 a( x$ F T1 `* v3 b5 `
7 }5 B- y1 h5 j! u7 O %性能跟踪
. p9 L) M2 ~' |/ m plot(trace(:,1),trace(:,3),'y-');
# Q8 Z) n+ z+ ^. c# W hold on
3 p3 X) A$ y; X plot(trace(:,1),trace(:,2),'r-'); L! V5 y+ S) Y/ ^
xlabel('Generation');
. U o3 X% `, d( I7 l7 S ylabel('Fitness');
$ _$ z& E" P) K! z! o+ T V legend('change of solution','average change of population');; v5 Y g- R# y1 ]0 `
TRAINLM, Epoch 0/10000, MSE 12.2801/1e-005, Gradient 1739.63/1e-010* s* d7 t( t5 {. |
TRAINLM, Epoch 10/10000, MSE 0.694955/1e-005, Gradient 93.6508/1e-0102 O. L3 o* u$ {0 J5 L0 u( k
TRAINLM, Epoch 20/10000, MSE 0.0242391/1e-005, Gradient 2.89095/1e-010
0 c/ ]5 h" b8 Q5 d3 }: `! Q/ vTRAINLM, Epoch 30/10000, MSE 0.0206875/1e-005, Gradient 4.2655/1e-010% O; ]% S* }% D8 ~, r- b- C
TRAINLM, Epoch 40/10000, MSE 0.0185878/1e-005, Gradient 18.249/1e-010! B/ r1 o" c: a: G0 z. S$ Y
TRAINLM, Epoch 50/10000, MSE 0.00947447/1e-005, Gradient 55.0854/1e-010
% e3 F6 j- d' y2 u$ ?TRAINLM, Epoch 53/10000, MSE 1.24279e-006/1e-005, Gradient 0.504667/1e-010
. B* G0 r- W9 ]( [3 {TRAINLM, Performance goal met. ??? Undefined function or variable 'minmax_target'. Error in ==> D:\MATLAB6p5p1\work\fitness.m
3 U9 N4 x9 G8 c3 yOn line 2 ==> min_target=minmax_target(1); Error in ==> D:\MATLAB6p5p1\work\initializega.m+ v5 L- `/ ^$ ^" S( S$ Q2 U
On line 41 ==> eval(estr); Error in ==> D:\MATLAB6p5p1\work\ga.m
7 k" `# W: q9 P: w6 {6 I& Y0 ~On line 148 ==> startPop=initializega(80,bounds,evalFN,evalOps,opts(1:2));, `# m8 {3 @. t
所使用的适应度函数是 function [sol,eval]=fitness(P,options)
. U7 b# }# E- O+ m% d, }4 C2 z) ~ min_target=minmax_target(1);
6 J: c- }7 G0 d# g: @+ u U( C max_target=minmax_target(2);, a9 x0 i8 P |! c6 Z( V
eval=sim(net,P)
8 D1 @+ x2 B* ~- D* ] if isformax$ P# Q0 I$ d4 P" u( e8 \
eval=eval-min_target+(max_target-min_target);6 M, J! H( T; W5 r
else
- c% p$ R* ]. C( H eval=-eval+max_target+(max_target-min_target);5 ^4 A% ^6 Q- m. c& y
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
