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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
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C1 H, C; V8 I1 X, y' g 40 30 3.5 7. 20 - B% f! g/ Y# u. i) S
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6 |1 J5 A0 N. \) t; [ 50 25 2.5 7. 5
" w% s' t3 H% u7 T3 ^8 p 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];# P6 q& R, R: c8 H* h. y+ _
T=t';1 t: l1 B# R* @6 N
P=p';9 e8 C7 X- A( c( R, w0 n' ~
net=newff(minmax(P),[12,1],{'tansig','purelin'},'trainlm');
/ B0 j3 R& \: t8 a& ~: p%训练网络 net.trainParam.show=10;
% `9 i: W6 [8 C( o%net.trainParam.lr=0.05;
/ S" ?+ d( a1 W9 T% b2 ^; l%net.trainParam.lr_inc=1.05;
- n) @8 }; i2 f; Qnet.trainParam.epochs=10000;
6 d8 ^# f' \* }' x/ [net.trainParam.goal=1e-5;
7 t: k0 {, B: i% randn('seed',192736547);
/ ]& E. B7 i3 Q& v5 k- {% net=init(net);
' C3 r0 K* b9 @4 I7 M[net,tr]=train(net,P,T);
2 k% v" u, X/ M" { @: }minmax_var=minmax(P);! |( E: T2 I3 p
minmax_target=minmax(T);
! \# w7 v2 z. E: |% C9 Y6 Zsave('result','net','minmax_var','minmax_target'); % 将网络输 转换成
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load('result');
! b7 j1 c) \, ]5 i [Pnew,endPop,bestSols,trace]=ga(minmax(P),'fitness');
2 B$ V) _( Z3 l3 D. J- ^
' r! c _- }1 T2 K" ~5 M5 v% O: Y %性能跟踪
* `8 v4 n& w0 u4 ]& x- Y) u plot(trace(:,1),trace(:,3),'y-');) a2 p6 E" H# ]! x. N
hold on 3 l; L( ^" i' @- k1 r: |1 h
plot(trace(:,1),trace(:,2),'r-');
Q9 v! u: h c: E xlabel('Generation');2 ^2 n8 @) k9 `) O( J2 J
ylabel('Fitness');
2 N9 F n/ l. s; t# R9 a1 d legend('change of solution','average change of population');* _7 o, b5 N1 Z1 C5 h$ N0 C
TRAINLM, Epoch 0/10000, MSE 12.2801/1e-005, Gradient 1739.63/1e-010
% K& Y! @3 V, r) B5 B$ [0 v. U. PTRAINLM, Epoch 10/10000, MSE 0.694955/1e-005, Gradient 93.6508/1e-010: O8 A u$ l! ]7 Z# ]2 D6 Z
TRAINLM, Epoch 20/10000, MSE 0.0242391/1e-005, Gradient 2.89095/1e-010
- e" q9 _9 m6 m/ [) gTRAINLM, Epoch 30/10000, MSE 0.0206875/1e-005, Gradient 4.2655/1e-010
$ T+ m0 k+ A; ?; _$ XTRAINLM, Epoch 40/10000, MSE 0.0185878/1e-005, Gradient 18.249/1e-010
4 z0 n5 @! Q# q. FTRAINLM, Epoch 50/10000, MSE 0.00947447/1e-005, Gradient 55.0854/1e-010
' i0 l# U- _; i! rTRAINLM, Epoch 53/10000, MSE 1.24279e-006/1e-005, Gradient 0.504667/1e-010# l% h r8 j. E1 m8 x. g
TRAINLM, Performance goal met. ??? Undefined function or variable 'minmax_target'. Error in ==> D:\MATLAB6p5p1\work\fitness.m- I- I. L9 l4 n7 j. t, R
On line 2 ==> min_target=minmax_target(1); Error in ==> D:\MATLAB6p5p1\work\initializega.m
$ \" n+ I+ i2 v! U: uOn line 41 ==> eval(estr); Error in ==> D:\MATLAB6p5p1\work\ga.m
$ c2 k: V. K+ o. x$ |On line 148 ==> startPop=initializega(80,bounds,evalFN,evalOps,opts(1:2));% [/ G/ |- P, l. g& A
所使用的适应度函数是 function [sol,eval]=fitness(P,options)
! B5 e) j! D) Z2 R' l0 M+ O; E min_target=minmax_target(1);
* C$ V, H8 Y: r3 U% a max_target=minmax_target(2);5 r7 \+ S$ R$ ~6 [ K- t0 @
eval=sim(net,P)& V" U( ~5 u- g2 a! j7 W/ j
if isformax
4 ~+ ~, y+ l/ H( q+ R eval=eval-min_target+(max_target-min_target);
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eval=-eval+max_target+(max_target-min_target);) U& r4 m& J4 u
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
