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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 , _3 g% F& m' X. P/ {" @, v
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a, s; u; V% ?! H! g 40 30 3. 6.5 5 9 K2 ^9 ]3 @9 s& O. w
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8 o, O: x* G# x0 @: ?+ y/ `* q# ?! a 50 25 2.5 7. 5
8 V) p2 t, c8 _, x 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];1 d6 b% @7 z6 r9 v0 m
T=t';
1 O" Q/ f, _) ?4 h/ q& o8 s( ?P=p';
1 l o4 d5 `7 s# Unet=newff(minmax(P),[12,1],{'tansig','purelin'},'trainlm');
j2 G( H$ ?! f# V%训练网络 net.trainParam.show=10;
! g1 Y% ?3 a5 }%net.trainParam.lr=0.05;
% y, _! k# B9 P o. }* j9 ?%net.trainParam.lr_inc=1.05;
5 ~( G a& I) h5 y9 \5 j' Gnet.trainParam.epochs=10000;6 |' B, T3 u; q6 T( Q
net.trainParam.goal=1e-5;
, c+ t! H; G& \0 e% randn('seed',192736547);
9 c* z* M( x1 U j, m. O% net=init(net);# A) ] W6 ?% ?: |3 g# a; r. I
[net,tr]=train(net,P,T);; P" i2 i1 l2 w" f6 ^ r
minmax_var=minmax(P);
8 A* r! j8 n# g( G( i9 [7 U/ A) Yminmax_target=minmax(T);3 m- |2 D$ j) _) o
save('result','net','minmax_var','minmax_target'); % 将网络输 转换成7 M4 ^. [# b+ p; _
% C) _3 t, q1 ^' B3 r
load('result');% ~& _0 L- O0 A& q' J
[Pnew,endPop,bestSols,trace]=ga(minmax(P),'fitness'); e8 y) z- W8 k7 _6 j e
+ }( B% M' K2 ?% X' v- t) y7 C. D: I %性能跟踪
! D0 @5 ^+ [8 {. e6 [ plot(trace(:,1),trace(:,3),'y-'); c1 B& X$ l+ q5 p* l# ^
hold on
1 J! {. H) P/ m8 X plot(trace(:,1),trace(:,2),'r-');
& e( r0 q a" F6 l# X8 w xlabel('Generation');
8 r/ ~1 r3 J. K9 o- o5 H# e1 Y ylabel('Fitness');# I! r2 X1 b/ |. y, A
legend('change of solution','average change of population');* U/ Y3 C# w+ A N6 \; L' t1 t+ M
TRAINLM, Epoch 0/10000, MSE 12.2801/1e-005, Gradient 1739.63/1e-010% G4 B4 Z5 `8 @- D+ y& h" s& @
TRAINLM, Epoch 10/10000, MSE 0.694955/1e-005, Gradient 93.6508/1e-010& I3 S! v; t+ s) q" O$ G+ Z
TRAINLM, Epoch 20/10000, MSE 0.0242391/1e-005, Gradient 2.89095/1e-010
+ v ~2 @ M5 W1 D, M5 MTRAINLM, Epoch 30/10000, MSE 0.0206875/1e-005, Gradient 4.2655/1e-010
: Z2 k( q: f; x: y7 b" X5 fTRAINLM, Epoch 40/10000, MSE 0.0185878/1e-005, Gradient 18.249/1e-010/ r( @# ?; l5 G* `8 E# e7 @, M
TRAINLM, Epoch 50/10000, MSE 0.00947447/1e-005, Gradient 55.0854/1e-010, f. u+ n0 G& o. {+ ~- B$ d1 Q
TRAINLM, Epoch 53/10000, MSE 1.24279e-006/1e-005, Gradient 0.504667/1e-010
. e1 z" b" f" y# @! }& k, O" `* FTRAINLM, Performance goal met. ??? Undefined function or variable 'minmax_target'. Error in ==> D:\MATLAB6p5p1\work\fitness.m
/ U$ i7 h5 M5 J) s; c+ yOn line 2 ==> min_target=minmax_target(1); Error in ==> D:\MATLAB6p5p1\work\initializega.m
3 d' m% @: o) [3 @5 z+ AOn line 41 ==> eval(estr); Error in ==> D:\MATLAB6p5p1\work\ga.m5 R* o* i+ F& s' H/ Z) n
On line 148 ==> startPop=initializega(80,bounds,evalFN,evalOps,opts(1:2));& M! o/ }, _/ A
所使用的适应度函数是 function [sol,eval]=fitness(P,options)7 u8 R# S0 H2 ~8 p% l t1 w
min_target=minmax_target(1);
3 @% C/ ]: _$ W max_target=minmax_target(2);$ t3 A" Z# @: C# J
eval=sim(net,P)
+ p9 C* v' b. l( \3 \. Y2 E3 _: L+ v if isformax
6 S6 [- A9 ^7 F: o0 } eval=eval-min_target+(max_target-min_target);' I# t; t. `. s8 R; C; ^
else/ W2 ~. q% H) r$ R ^9 m6 t
eval=-eval+max_target+(max_target-min_target);) B9 d8 F5 N* S
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
