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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
( m' Y* h& m" ?) o5 | 40 25 3. 6.5 10 4 d. ^2 e" V6 ^
40 30 3.5 7. 20
- a3 @' Y+ p) P" s, f) f 45 21 2.5 6.5 10 / ?6 }$ d/ U# i ^5 h8 r5 q' F! P
45 25 3. 7. 20
6 a9 {, k5 F5 z# L: q8 p 45 30 3.5 6. 5
7 G: i, R- H( P( }/ m( Z, K 50 21 3. 6. 20 7 l. E/ y' N, ~
50 25 3.5 6.5 5
) U z0 s! W& ~3 L9 K. ~# Y& H 50 30 2.5 7. 10
. O5 ^( O8 u5 f3 E" h' { 40 21 3.5 7. 10 % w0 E T/ B2 E* f' B3 V( l
40 25 2.5 6. 20 ; V2 K8 c7 C7 O% v
40 30 3. 6.5 5
( c, i7 C; w' Q' \ 45 21 3. 7. 5
! f' Q. B" v' o. k5 F 45 25 3.5 6. 10 / z2 k; p* o1 s% P" p
45 30 2.5 6.5 20
/ L6 u0 A3 a( g 50 21 3.5 6.5 20 / U; v: Y5 T1 A i6 A0 ^% L0 o5 {2 W
50 25 2.5 7. 5
# {3 D: z" c3 D: D- f 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];
( Y0 R6 n5 W: I% s4 vT=t';/ a- c7 [) w8 c" O2 E, ?, W [4 d" _
P=p';
3 }1 ^$ r* i5 W3 Unet=newff(minmax(P),[12,1],{'tansig','purelin'},'trainlm');# |8 v" C2 O$ U4 p
%训练网络 net.trainParam.show=10;
9 h- {: E4 s5 \9 u) V# a: i%net.trainParam.lr=0.05;* d" P# B1 }0 Y8 Y
%net.trainParam.lr_inc=1.05;
U/ f9 w8 P, n& Z% j/ |2 ~net.trainParam.epochs=10000;" q& ^1 x$ t2 r- @$ C
net.trainParam.goal=1e-5; $ d, c' z. n+ H
% randn('seed',192736547);
. z1 ^ t0 a7 I1 X8 A7 P' I% net=init(net);# ~+ J. D; l# f7 S( P2 c' T
[net,tr]=train(net,P,T);
0 X% W" E2 r( \( Z& Bminmax_var=minmax(P);6 L! H1 H/ J" y& c6 I' I% D! K$ {
minmax_target=minmax(T);, U- E& P9 I4 b) p( g# M
save('result','net','minmax_var','minmax_target'); % 将网络输 转换成. J, y9 F9 s% f3 Q' S p2 ?
; P6 Q! T: `. q' s" U, l load('result');2 I& z! A6 w. S1 H' Z6 ^
[Pnew,endPop,bestSols,trace]=ga(minmax(P),'fitness');
2 t$ f" E6 Q5 T
) @7 b8 h% T7 e" _& s1 x! s+ x %性能跟踪
3 a. t2 }$ T' i8 B7 j9 D8 H2 J9 p plot(trace(:,1),trace(:,3),'y-');0 u5 _7 U: X% c
hold on 3 ~) B# \" l! L
plot(trace(:,1),trace(:,2),'r-');& m6 S% w6 ^+ A' n% u" D! R6 W
xlabel('Generation');) L, ~" t9 m- m6 {+ W3 V3 b
ylabel('Fitness');# x* O0 z. Y1 R
legend('change of solution','average change of population');
& B* G1 F( E( u! V; DTRAINLM, Epoch 0/10000, MSE 12.2801/1e-005, Gradient 1739.63/1e-010
$ h+ ?2 G% L2 E- |$ S7 XTRAINLM, Epoch 10/10000, MSE 0.694955/1e-005, Gradient 93.6508/1e-010. Z' P1 E0 q* R O) ~$ ~
TRAINLM, Epoch 20/10000, MSE 0.0242391/1e-005, Gradient 2.89095/1e-010) A# W' G( P# M" W. e0 H
TRAINLM, Epoch 30/10000, MSE 0.0206875/1e-005, Gradient 4.2655/1e-010
9 ~ N% F4 r9 dTRAINLM, Epoch 40/10000, MSE 0.0185878/1e-005, Gradient 18.249/1e-010
1 M6 K3 Y0 g. g! ZTRAINLM, Epoch 50/10000, MSE 0.00947447/1e-005, Gradient 55.0854/1e-010
* C; ^4 @9 q( r o' z( ITRAINLM, Epoch 53/10000, MSE 1.24279e-006/1e-005, Gradient 0.504667/1e-010
4 ~/ U: Q# o( R3 s7 Q: vTRAINLM, Performance goal met. ??? Undefined function or variable 'minmax_target'. Error in ==> D:\MATLAB6p5p1\work\fitness.m
3 P/ v' k( Z$ f; d5 n2 ?* NOn line 2 ==> min_target=minmax_target(1); Error in ==> D:\MATLAB6p5p1\work\initializega.m# ] |/ z+ y0 L. q g
On line 41 ==> eval(estr); Error in ==> D:\MATLAB6p5p1\work\ga.m
5 c+ d5 z; b' U% ]On line 148 ==> startPop=initializega(80,bounds,evalFN,evalOps,opts(1:2));
+ O3 ` t6 O: w/ j! r4 y. P; g所使用的适应度函数是 function [sol,eval]=fitness(P,options)
. p7 t. }5 H' r7 V& O. C0 c min_target=minmax_target(1);5 y5 N' |: N6 A% L4 H5 Q
max_target=minmax_target(2);
- @: K+ x! u9 I eval=sim(net,P)5 v& y; b, d$ u' ]
if isformax+ Z" Z) z$ k- S- C x+ V
eval=eval-min_target+(max_target-min_target);5 Y5 B$ p4 I) S3 f" ?( q. I$ A
else. @0 G8 ^& i H9 k# G
eval=-eval+max_target+(max_target-min_target);
) `. e2 R# ?0 P0 W! j# x/ \ 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
