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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 ; l- C0 f. W# l& T' D, F
40 25 3. 6.5 10
9 X% K" Y9 i0 Q3 F 40 30 3.5 7. 20 ) }' Z6 s2 p) a" i/ y
45 21 2.5 6.5 10
- I& O& [ r5 [% V( d7 g0 t# a0 j 45 25 3. 7. 20
4 L# h- T0 j" v" U/ U, o 45 30 3.5 6. 5 6 j: O- X) j7 s( `; A2 V/ c+ s
50 21 3. 6. 20 5 b, R4 }" M% ]
50 25 3.5 6.5 5
2 z* D; o6 ^/ N9 Y X' P 50 30 2.5 7. 10 * p: s/ L$ p6 I
40 21 3.5 7. 10
& s" E7 M% {, M! U; f7 ~# U" ] 40 25 2.5 6. 20 / s: C2 U; X/ w5 W0 i
40 30 3. 6.5 5 7 p7 n/ ` Y4 g6 J- o
45 21 3. 7. 5 7 T6 s3 K. H8 p. ?
45 25 3.5 6. 10 / t' q; f. X7 N! V
45 30 2.5 6.5 20
( S# S+ ^8 o/ c6 C, X3 v) E. e 50 21 3.5 6.5 20
( a7 W; V5 \& t! Y 50 25 2.5 7. 5 - L- K' c/ h! U4 K: G; o
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];
) O3 | e( Y2 l4 l( bT=t';' ^( E+ I0 a9 t0 @0 F% i0 V
P=p';# w) _+ w8 d; G* U% c+ Z' T
net=newff(minmax(P),[12,1],{'tansig','purelin'},'trainlm');+ t/ l0 \8 F! e$ J* C8 X
%训练网络 net.trainParam.show=10;( Q: ]. Y( ^! X+ @8 t
%net.trainParam.lr=0.05;7 J. L# v" M; C# X% i9 }
%net.trainParam.lr_inc=1.05;/ n v! H6 V- p6 z6 H
net.trainParam.epochs=10000;
+ k+ W r- {# Z+ ^4 ~7 j# R0 @5 r5 M1 enet.trainParam.goal=1e-5; ! b3 g4 y, J h: {; Y
% randn('seed',192736547);
6 F# n* q2 Z f0 Q, M' o% net=init(net);$ [- B+ d# J% P5 _0 h. W
[net,tr]=train(net,P,T);; t( I* g* U) j. `9 Y
minmax_var=minmax(P);9 D( _& @3 K% @
minmax_target=minmax(T);/ t, s; N5 x+ `& k% Y0 t
save('result','net','minmax_var','minmax_target'); % 将网络输 转换成5 I& }' h# v3 U, u9 X$ @% c% ]1 n) l* t
+ g8 `/ K4 Q, r0 L- l load('result');
7 d& z4 ~( f; I4 \& b: ~ [Pnew,endPop,bestSols,trace]=ga(minmax(P),'fitness');5 }/ J; `& |. M7 r
: X+ k e) Z8 l5 O( \9 I( S %性能跟踪6 D7 R' R! J [& u! F6 M
plot(trace(:,1),trace(:,3),'y-');1 [; T" k5 G- h
hold on / V, ~" d2 w. r& h
plot(trace(:,1),trace(:,2),'r-');
- D4 E* h2 P2 h) V$ R! Q xlabel('Generation');
6 b4 H' q+ W9 {7 H+ Y2 D# ^/ u ylabel('Fitness');" ^, S* p2 P( b9 y+ @7 J
legend('change of solution','average change of population');: _ {8 }% y3 N1 m
TRAINLM, Epoch 0/10000, MSE 12.2801/1e-005, Gradient 1739.63/1e-010
; M. l( q# l6 g3 Z9 S# oTRAINLM, Epoch 10/10000, MSE 0.694955/1e-005, Gradient 93.6508/1e-0108 F/ {4 b) U! }6 k
TRAINLM, Epoch 20/10000, MSE 0.0242391/1e-005, Gradient 2.89095/1e-010) E( b* N- J# X6 u$ ~+ ~2 O9 R8 }
TRAINLM, Epoch 30/10000, MSE 0.0206875/1e-005, Gradient 4.2655/1e-010
: e2 u N. }3 s- H2 dTRAINLM, Epoch 40/10000, MSE 0.0185878/1e-005, Gradient 18.249/1e-0108 s/ x( m+ {3 r8 ^/ @
TRAINLM, Epoch 50/10000, MSE 0.00947447/1e-005, Gradient 55.0854/1e-010
5 ^) v* Y' a7 [7 LTRAINLM, Epoch 53/10000, MSE 1.24279e-006/1e-005, Gradient 0.504667/1e-0101 F( H% [" ]5 A& i0 B
TRAINLM, Performance goal met. ??? Undefined function or variable 'minmax_target'. Error in ==> D:\MATLAB6p5p1\work\fitness.m
* l% p( F* n$ O9 |( H5 oOn line 2 ==> min_target=minmax_target(1); Error in ==> D:\MATLAB6p5p1\work\initializega.m
7 g+ n: E( m5 m8 @6 ROn line 41 ==> eval(estr); Error in ==> D:\MATLAB6p5p1\work\ga.m
8 n, h+ D- q/ y( ^. a5 P6 B1 d r* n9 \* LOn line 148 ==> startPop=initializega(80,bounds,evalFN,evalOps,opts(1:2));' f6 z0 P) ?+ Q: F r5 D! Y- D
所使用的适应度函数是 function [sol,eval]=fitness(P,options)3 m4 X }, i# r+ [, C
min_target=minmax_target(1);. h) |8 O1 \0 _
max_target=minmax_target(2);
) [- Q9 V' W8 f8 {5 F- B5 U+ A eval=sim(net,P)
' j9 P: h5 q' _6 f; A9 f" d if isformax' s; Q$ Q/ Y' s! W, H! U J7 X
eval=eval-min_target+(max_target-min_target);
7 E2 J6 a: [, g+ G else
* e! {, j- {0 i' M- [- B, ^- p2 h# x eval=-eval+max_target+(max_target-min_target);, G0 j* v& W5 G$ h% j
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
