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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 7 F/ _6 }9 H a
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40 30 3.5 7. 20 2 `+ y5 P" x$ s' H
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0 I3 L _; [3 y& b 45 25 3. 7. 20
' g+ @% l- f9 j* o 45 30 3.5 6. 5
5 O! h6 ?: q# I7 x 50 21 3. 6. 20 ; k6 y$ O' T8 ~* A
50 25 3.5 6.5 5
3 d0 @9 y. P) ?6 m U. o4 p 50 30 2.5 7. 10
- J3 O* C, @+ e8 x2 O 40 21 3.5 7. 10 & q9 q- P0 T/ y3 g4 s2 h
40 25 2.5 6. 20
5 ?' y# o' H9 y 40 30 3. 6.5 5 5 D3 k# a7 Z6 Z, i; c$ e8 h
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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];( C- i* p \, B2 g5 F, a
T=t';
R& n+ `& n& e0 a1 l/ KP=p';
& \ ]% i+ J# L1 ]1 w2 A' a/ e0 i* Y Onet=newff(minmax(P),[12,1],{'tansig','purelin'},'trainlm');* N9 O+ s2 G+ j2 m" `# J5 `9 f. N
%训练网络 net.trainParam.show=10;/ y r! b2 B7 c" l2 `% {& f
%net.trainParam.lr=0.05;
, C9 g) p. a- `3 K4 |* H%net.trainParam.lr_inc=1.05;; W5 g: P, O7 J4 I4 h
net.trainParam.epochs=10000;7 G; k4 W5 Q2 C2 h
net.trainParam.goal=1e-5;
/ D& [" _. x2 o5 f3 M; q) y# h, m% randn('seed',192736547);+ @. ^; \& x( ~
% net=init(net);' a$ @# n* t# \1 U8 e
[net,tr]=train(net,P,T);
: @7 f9 j4 U# ?# S0 F* ^( Yminmax_var=minmax(P);. F$ [) N3 o1 o% m; n
minmax_target=minmax(T);
. @# ?$ u- Q; ^8 @save('result','net','minmax_var','minmax_target'); % 将网络输 转换成 k/ b: s$ M" D7 \# Q( z3 U3 F
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load('result');, c" N* ^0 R( C* b9 I: c
[Pnew,endPop,bestSols,trace]=ga(minmax(P),'fitness');; }2 O `5 r4 c" o# |/ R
9 r* Z# M. h. @. m %性能跟踪3 M0 b6 {8 @' V, n* |- J
plot(trace(:,1),trace(:,3),'y-');/ D: \3 S% X) Q) Y7 j4 B/ q
hold on $ z; q0 s) ^. k/ O( v. M- T k
plot(trace(:,1),trace(:,2),'r-');. N3 c4 y( m2 W6 k, H" ?* |, N
xlabel('Generation');+ t' O2 s) b0 {, ^4 {# d0 U
ylabel('Fitness');" a; x& W; d3 d9 F+ `2 W
legend('change of solution','average change of population');! F2 G8 j) j$ L, w0 ]
TRAINLM, Epoch 0/10000, MSE 12.2801/1e-005, Gradient 1739.63/1e-0101 i2 {0 R) m6 t4 I8 |' A7 S
TRAINLM, Epoch 10/10000, MSE 0.694955/1e-005, Gradient 93.6508/1e-010
/ G2 w) e. h. A9 F! p9 v' B' y$ CTRAINLM, Epoch 20/10000, MSE 0.0242391/1e-005, Gradient 2.89095/1e-010
6 p, y% r* z* p# v& kTRAINLM, Epoch 30/10000, MSE 0.0206875/1e-005, Gradient 4.2655/1e-010
' F7 y g* A+ y- B) S3 yTRAINLM, Epoch 40/10000, MSE 0.0185878/1e-005, Gradient 18.249/1e-010
+ B) f. |; s2 [# y. `TRAINLM, Epoch 50/10000, MSE 0.00947447/1e-005, Gradient 55.0854/1e-010' S a1 a2 [" `0 \3 F0 Q. Y @
TRAINLM, Epoch 53/10000, MSE 1.24279e-006/1e-005, Gradient 0.504667/1e-010; g2 a8 M E, p* U o# l
TRAINLM, Performance goal met. ??? Undefined function or variable 'minmax_target'. Error in ==> D:\MATLAB6p5p1\work\fitness.m
" _+ y' G. [& d5 ?6 I: M9 [On line 2 ==> min_target=minmax_target(1); Error in ==> D:\MATLAB6p5p1\work\initializega.m
$ O2 U" E+ c$ Z3 ~+ f+ AOn line 41 ==> eval(estr); Error in ==> D:\MATLAB6p5p1\work\ga.m8 S2 R) ^; q3 h
On line 148 ==> startPop=initializega(80,bounds,evalFN,evalOps,opts(1:2));
, d5 b1 ~! n( d; d+ L m, r3 ?所使用的适应度函数是 function [sol,eval]=fitness(P,options)
: E( ^' I0 ^ n" U' x min_target=minmax_target(1);; Y$ ]8 U$ q* v O( o) X; o$ Y2 E
max_target=minmax_target(2);
! ?0 k- z7 c; e Z1 i! I eval=sim(net,P)
E$ W- O8 h' x% s, I' x4 {- Z if isformax
/ p, n# O( s- P" O( v7 g0 E3 }7 m eval=eval-min_target+(max_target-min_target);
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eval=-eval+max_target+(max_target-min_target);4 S0 B( D! _1 w3 B- G2 q5 X& R; L
end | 
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发表于 2005-1-22 22:42
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