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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 A& q( S+ F# [0 B, r 40 25 3. 6.5 10
% M: m6 V6 c( v0 b7 ^2 Z! E, D7 y# b 40 30 3.5 7. 20
2 n) |( r6 s2 s& Q7 X3 j( E1 z 45 21 2.5 6.5 10
! F' Q3 j) O: g7 y 45 25 3. 7. 20
+ @0 v W3 e! S E u 45 30 3.5 6. 5
( [; V9 w+ q7 O8 B 50 21 3. 6. 20 2 O: M# ^8 P' V
50 25 3.5 6.5 5 ' K' D; S: T4 G/ P1 R) ^
50 30 2.5 7. 10 5 k( q- S6 X* s
40 21 3.5 7. 10 5 u$ y8 L. l2 M7 O& W: W
40 25 2.5 6. 20
) j6 p0 e, d' g. d: B0 |2 F 40 30 3. 6.5 5
" X- b! z, R% P3 Q g4 X' b& I 45 21 3. 7. 5
: x K$ j& T. ?# ~+ A; b 45 25 3.5 6. 10
7 v- t- z) n( w, [, X: {) g 45 30 2.5 6.5 20
! Y! v6 _9 e$ A; _3 I 50 21 3.5 6.5 20 # U/ V5 i9 x! v {5 a
50 25 2.5 7. 5
1 c2 P+ X) F' N" b r. {: m 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];7 M o: ~6 |" j0 ?7 Q' P, b5 L
T=t';
* Y& m+ Q/ y' [8 N& n5 S4 S9 _P=p';( K. @2 q |% w5 G/ Z. w& s
net=newff(minmax(P),[12,1],{'tansig','purelin'},'trainlm');7 ]+ [' z! k9 E
%训练网络 net.trainParam.show=10;% q% E% P3 }' j2 Y+ o2 z! i
%net.trainParam.lr=0.05;
0 R+ {5 w& n3 h8 k% v%net.trainParam.lr_inc=1.05;
7 P3 D% J3 d `& Z$ l; b- ^6 hnet.trainParam.epochs=10000;. |0 K: [8 k, o
net.trainParam.goal=1e-5;
" o4 p. S( l0 U C# u+ A" O9 y% randn('seed',192736547);
# Z- `1 W0 E- T* X7 q0 |% net=init(net);' F% R, a; s1 W W2 s9 u1 k$ l
[net,tr]=train(net,P,T);3 T6 ]) `5 E4 c& E" i2 R
minmax_var=minmax(P);
; k% R) {2 a. G( [1 `# f3 ]minmax_target=minmax(T);
. i" J4 |1 F5 w5 J( _save('result','net','minmax_var','minmax_target'); % 将网络输 转换成
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load('result');
: Z }& t: Z+ j [Pnew,endPop,bestSols,trace]=ga(minmax(P),'fitness');& a( d8 P! L! M2 @9 D/ c% b
$ T1 o1 E. o* S" c %性能跟踪
5 U+ }# g0 D4 [ N- V+ _0 H% g plot(trace(:,1),trace(:,3),'y-');
. b% ?) Y: J3 \4 h1 v0 C1 ? hold on
) a, _, t9 n* V) F plot(trace(:,1),trace(:,2),'r-');
1 c+ k5 {9 q P4 v0 J' C; S xlabel('Generation');
& g, @1 F3 y n ylabel('Fitness');
: [! W# L# m/ H' T$ |8 h: t legend('change of solution','average change of population');* I; ~; p; m7 P" g' ~' h h- o
TRAINLM, Epoch 0/10000, MSE 12.2801/1e-005, Gradient 1739.63/1e-010# e* C0 v' ]) b0 ?* G! M7 A
TRAINLM, Epoch 10/10000, MSE 0.694955/1e-005, Gradient 93.6508/1e-0103 B9 U* Y# |. J; ~
TRAINLM, Epoch 20/10000, MSE 0.0242391/1e-005, Gradient 2.89095/1e-010# w5 ^& ~* b- x2 n! o; j
TRAINLM, Epoch 30/10000, MSE 0.0206875/1e-005, Gradient 4.2655/1e-010# I- O6 w$ z4 L% `) o
TRAINLM, Epoch 40/10000, MSE 0.0185878/1e-005, Gradient 18.249/1e-010
5 z8 a5 h% e* U3 j6 x3 pTRAINLM, Epoch 50/10000, MSE 0.00947447/1e-005, Gradient 55.0854/1e-010 r1 [5 z; U- M4 M# h
TRAINLM, Epoch 53/10000, MSE 1.24279e-006/1e-005, Gradient 0.504667/1e-010
+ i; X9 n, `; a8 Q* ?TRAINLM, Performance goal met. ??? Undefined function or variable 'minmax_target'. Error in ==> D:\MATLAB6p5p1\work\fitness.m P$ \& D1 q( G8 Z% e \5 m1 B
On line 2 ==> min_target=minmax_target(1); Error in ==> D:\MATLAB6p5p1\work\initializega.m& H K8 |; x+ w6 S$ E* g. e- w
On line 41 ==> eval(estr); Error in ==> D:\MATLAB6p5p1\work\ga.m
8 t7 E+ `. R) A. `On line 148 ==> startPop=initializega(80,bounds,evalFN,evalOps,opts(1:2));9 C4 Z) i/ ]9 T; J( Y9 j+ i+ n
所使用的适应度函数是 function [sol,eval]=fitness(P,options)
6 {$ G& B( j/ F min_target=minmax_target(1);
1 I) g, ~% \' q5 J max_target=minmax_target(2);' X. f0 e: L! f) }
eval=sim(net,P)' U# w$ {) H' ~" u6 @
if isformax/ R8 ^5 \; ~2 X7 d" I8 I
eval=eval-min_target+(max_target-min_target);
z2 c% A, ~( B6 l0 K4 k" I3 t' ^ else `- d5 s% C7 U; |$ c6 W6 j# F9 x" t" p- p
eval=-eval+max_target+(max_target-min_target);
. }8 G' O; @9 I8 g: N; b7 j3 ~ 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
