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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 2 T* |% x: F; ?. b- G4 Q
40 25 3. 6.5 10
5 H+ L* v p/ o5 }3 N: E0 p2 ~" E 40 30 3.5 7. 20
7 J' n) M& @" ^2 V- K! b 45 21 2.5 6.5 10 " }8 x! o& L* O! ^% Z+ T/ d+ h0 \+ D! B
45 25 3. 7. 20 3 S$ i8 w8 @* Q% }) q* t7 c
45 30 3.5 6. 5 ! q0 N4 o0 U" `! w! I4 ?
50 21 3. 6. 20
+ C( k2 c3 ]$ i+ k7 ] 50 25 3.5 6.5 5 / X8 M+ r! d& p+ @6 {
50 30 2.5 7. 10 # w; G& O+ r, y- |3 N/ `/ l4 g
40 21 3.5 7. 10
0 ]3 t7 N7 }; o* f! K) B! x4 S 40 25 2.5 6. 20
. t3 M$ S) v! R4 x 40 30 3. 6.5 5 ( _1 Y- d; M7 G5 d5 d/ Q+ `1 u' A
45 21 3. 7. 5 " B* j1 b8 n, v7 M, W Y- T
45 25 3.5 6. 10
/ z6 g. E k/ E6 Z 45 30 2.5 6.5 20 + S! g3 `9 e! c: ^9 p C# v9 D% a
50 21 3.5 6.5 20
; W9 z4 E9 }7 s0 c% \& r" a1 d 50 25 2.5 7. 5 q$ O3 e3 ^" B9 F1 i9 e3 V" N
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];( D4 B3 E6 }' K r5 }+ f+ t+ ^3 A
T=t';
. m( Z3 @5 f2 Y8 s; U( NP=p';$ J, E; ` s3 @1 H) s% i
net=newff(minmax(P),[12,1],{'tansig','purelin'},'trainlm');* u- @# d7 E6 h# m6 d3 j1 Y3 o. K
%训练网络 net.trainParam.show=10;
; d5 h2 d+ k! c: v" t6 q%net.trainParam.lr=0.05;, U1 I- ?1 ?; i; n7 q
%net.trainParam.lr_inc=1.05;1 t# R( t$ r' J4 ]- z
net.trainParam.epochs=10000;% j9 X# F; O* b( b8 B/ o
net.trainParam.goal=1e-5; 0 G" r2 _$ S. M1 F+ Q
% randn('seed',192736547);- z2 A+ @( H1 P2 T
% net=init(net);
1 E: w5 E% D# S; W) J0 T! }: E[net,tr]=train(net,P,T);
! Z# e$ {2 S; Lminmax_var=minmax(P);4 I( _! A/ D& d0 D3 S) @1 E5 e
minmax_target=minmax(T);: x9 v+ F& j8 F; m* @6 F7 b7 p
save('result','net','minmax_var','minmax_target'); % 将网络输 转换成
# b- r! |2 w7 U" h/ x {: d % S2 |9 e9 l1 A
load('result');( ~$ H) o5 A/ j2 p
[Pnew,endPop,bestSols,trace]=ga(minmax(P),'fitness');
* ~$ v7 [, Z! ~) P% y 0 L5 ]2 ^4 @) u
%性能跟踪2 k9 `7 Z. o3 w& S7 o9 N
plot(trace(:,1),trace(:,3),'y-');
0 X0 A- P: W1 \3 q3 T0 L; b( l hold on
7 t% ~; c4 H2 ]- K$ | plot(trace(:,1),trace(:,2),'r-');
1 v7 o7 p" d: t9 D2 A# Z4 C. n xlabel('Generation');2 R- M, k. h+ @; F" n, v
ylabel('Fitness');) l* g- K% n6 D9 P+ I2 h+ G
legend('change of solution','average change of population');
0 F8 {4 S6 F/ K; M% @TRAINLM, Epoch 0/10000, MSE 12.2801/1e-005, Gradient 1739.63/1e-0100 p, p, j0 p G( z$ Y
TRAINLM, Epoch 10/10000, MSE 0.694955/1e-005, Gradient 93.6508/1e-010; y" H6 W3 T; N) q7 k2 x7 f2 M# \
TRAINLM, Epoch 20/10000, MSE 0.0242391/1e-005, Gradient 2.89095/1e-010
( ]3 B l3 M& F D6 rTRAINLM, Epoch 30/10000, MSE 0.0206875/1e-005, Gradient 4.2655/1e-0100 ^) b1 z) o+ c1 ]8 P
TRAINLM, Epoch 40/10000, MSE 0.0185878/1e-005, Gradient 18.249/1e-010
% ?! z S( W9 n7 `& M1 \( ETRAINLM, Epoch 50/10000, MSE 0.00947447/1e-005, Gradient 55.0854/1e-010
6 I5 R+ G' d1 {* J0 VTRAINLM, Epoch 53/10000, MSE 1.24279e-006/1e-005, Gradient 0.504667/1e-0107 U% ~3 i' t$ X/ p7 `
TRAINLM, Performance goal met. ??? Undefined function or variable 'minmax_target'. Error in ==> D:\MATLAB6p5p1\work\fitness.m
& W& Y# |8 `$ B3 \$ ], \0 e, hOn line 2 ==> min_target=minmax_target(1); Error in ==> D:\MATLAB6p5p1\work\initializega.m' n& O9 E7 M5 _, R' L, g
On line 41 ==> eval(estr); Error in ==> D:\MATLAB6p5p1\work\ga.m Q; ? P- C# j# @) z3 t* w8 m
On line 148 ==> startPop=initializega(80,bounds,evalFN,evalOps,opts(1:2)); a% s1 x+ ]8 ]8 n: ^
所使用的适应度函数是 function [sol,eval]=fitness(P,options)& e! h$ {( M: ~+ O9 p/ f! W1 W
min_target=minmax_target(1);7 N4 s& x0 k8 d# C
max_target=minmax_target(2);
2 f! k' d3 k6 v0 l eval=sim(net,P)5 `5 o5 `, Q/ M$ n% I
if isformax0 |+ `; m5 B$ t2 Q! q% Z; f- J
eval=eval-min_target+(max_target-min_target);: |8 O* b8 ?6 ]/ `
else
+ Y' { [/ e0 I& B- i" Z: x$ a2 f l eval=-eval+max_target+(max_target-min_target);' b$ w' C4 D6 }' b2 f: a: F _( C
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
