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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
1 b, T& v h4 w. I 40 25 3. 6.5 10 4 r- y& o( A) c h; t. }
40 30 3.5 7. 20
! y* O. T* C/ ^1 Z+ n 45 21 2.5 6.5 10 {9 Z U2 U# L9 `( l r8 ~
45 25 3. 7. 20
, d8 Z# p: A+ ?" i+ d+ Z 45 30 3.5 6. 5 8 f6 F& q& Z, {# k# J( }
50 21 3. 6. 20 4 ?7 K5 w7 n: }" s1 D
50 25 3.5 6.5 5 4 Q0 A- |0 B R4 j) K7 }
50 30 2.5 7. 10
8 f$ c( s5 k, w; z: S; i" p 40 21 3.5 7. 10
# t* K# z7 o0 o D7 p& |2 h% j4 s 40 25 2.5 6. 20 % C7 T! V/ P$ V$ l
40 30 3. 6.5 5
x( n6 A) X* U/ ? 45 21 3. 7. 5
4 p+ w3 o# g+ ~. H4 \ 45 25 3.5 6. 10 2 ~! \9 e3 ^0 y/ Z* ]- S
45 30 2.5 6.5 20 " e0 A2 v* W6 P. Z% N2 Z; ?
50 21 3.5 6.5 20
6 s E/ Y+ C1 s 50 25 2.5 7. 5 6 q, ?7 c; T+ o: M0 u 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];
- H4 D; Z8 V3 g7 S+ G- t9 LT=t';
# k9 z- i; ~6 _8 BP=p';
! N; e% w3 \: G/ E. N! z2 j! ], ~net=newff(minmax(P),[12,1],{'tansig','purelin'},'trainlm');$ G7 U! F2 |5 l# }. ^% K
%训练网络 net.trainParam.show=10;2 V+ y9 O" L9 ~2 c5 V& l* F6 v
%net.trainParam.lr=0.05;
6 f8 }& O& Y7 S" `; n9 r. t%net.trainParam.lr_inc=1.05;
+ Z+ y, J( n) v6 n) H0 Ynet.trainParam.epochs=10000;# m/ _' x3 \' M u0 a% `1 M
net.trainParam.goal=1e-5;
: I* V6 N% k: s* M s, M& S% randn('seed',192736547);( d2 O1 o: o; d' I, Q
% net=init(net);1 F9 b& S" B% M' { ^+ H! h- h
[net,tr]=train(net,P,T);# n( A: b1 p/ m( z; m
minmax_var=minmax(P);
. ~( _" P; \2 }5 ~minmax_target=minmax(T);
& k q: ~: c$ t/ u4 \8 q. y- Hsave('result','net','minmax_var','minmax_target'); % 将网络输 转换成7 i; s! ]7 S: j- I/ n9 r8 Z
6 P5 h* H: Y& U9 x+ U% y
load('result');
9 e3 a! ^4 [1 ?- M [Pnew,endPop,bestSols,trace]=ga(minmax(P),'fitness');
! }& w% V3 o% Y. a. B+ A8 M5 a
3 q0 _) c. v3 { %性能跟踪" H- @' s1 F# {: t4 W ~
plot(trace(:,1),trace(:,3),'y-');! `# u* R0 N- [6 T3 L- J
hold on
; b3 V2 s( _5 t( F/ K plot(trace(:,1),trace(:,2),'r-');/ P, y4 {0 E& V" [# l9 W
xlabel('Generation');
8 x4 Q' W' q2 X: \! ]) f ylabel('Fitness');
# C! ^/ j; |& n* H7 f2 ? legend('change of solution','average change of population');; m* w; \+ ?% h4 m2 Z
TRAINLM, Epoch 0/10000, MSE 12.2801/1e-005, Gradient 1739.63/1e-010/ w+ C3 t9 _3 p" m2 z! Y, e
TRAINLM, Epoch 10/10000, MSE 0.694955/1e-005, Gradient 93.6508/1e-010
" k0 Y% s6 ^, ?TRAINLM, Epoch 20/10000, MSE 0.0242391/1e-005, Gradient 2.89095/1e-010
: \, Q; i0 b( Y5 LTRAINLM, Epoch 30/10000, MSE 0.0206875/1e-005, Gradient 4.2655/1e-010* G7 @) }' V: k1 A, o# c
TRAINLM, Epoch 40/10000, MSE 0.0185878/1e-005, Gradient 18.249/1e-0100 |9 B+ i# i6 q8 {; y8 z9 b
TRAINLM, Epoch 50/10000, MSE 0.00947447/1e-005, Gradient 55.0854/1e-010
N1 I9 G) z" w! g9 F3 |8 VTRAINLM, Epoch 53/10000, MSE 1.24279e-006/1e-005, Gradient 0.504667/1e-010
4 Z& @# Z$ k5 d5 ^7 ITRAINLM, Performance goal met. ??? Undefined function or variable 'minmax_target'. Error in ==> D:\MATLAB6p5p1\work\fitness.m
; [4 R Y' E9 F) [/ I5 x( JOn line 2 ==> min_target=minmax_target(1); Error in ==> D:\MATLAB6p5p1\work\initializega.m
. \( w4 F6 h7 X( W' P$ M; r2 E8 UOn line 41 ==> eval(estr); Error in ==> D:\MATLAB6p5p1\work\ga.m8 W, X& |' A2 w7 r* Q: w: N
On line 148 ==> startPop=initializega(80,bounds,evalFN,evalOps,opts(1:2));; o. R, L! `1 r( ?0 Z4 D! i& C8 x
所使用的适应度函数是 function [sol,eval]=fitness(P,options)
$ Q/ L: I1 R. H6 a! V1 Z min_target=minmax_target(1);
5 i: m6 t/ z# C# C* z) D' P6 k4 | max_target=minmax_target(2);
% k8 s+ _% B8 j0 Q, q% x% M# h% H eval=sim(net,P)9 N q! r& @6 D: {# Z
if isformax* z3 c1 u! S. H
eval=eval-min_target+(max_target-min_target);
0 R# H1 s5 v! f- W4 O else
?# M! M5 r( p. G eval=-eval+max_target+(max_target-min_target);6 _' k0 t* V3 k) z; s% T" V2 ?
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
