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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
% x/ C( t/ L7 {& W) i" i6 n 40 25 3. 6.5 10 ; F" B) i8 M' |
40 30 3.5 7. 20
, M$ ^' f: c* ]5 Y/ b' m 45 21 2.5 6.5 10 . r8 v- E% w7 D
45 25 3. 7. 20
& C( L4 f9 m( | 45 30 3.5 6. 5
' ^" r0 O# b& ]% x; Q! g! u% [' A b 50 21 3. 6. 20 & M, E9 q* R1 W) V7 Z/ W0 [6 @
50 25 3.5 6.5 5 - s% V, Z6 C R/ e8 z! j
50 30 2.5 7. 10
$ t- e( W, [9 A; v 40 21 3.5 7. 10 1 \: ~! Y* k. B! T4 r( k! h
40 25 2.5 6. 20
; E) f, x! r& ^2 J# o: r% c 40 30 3. 6.5 5
0 ]2 o2 }1 s6 Y5 \2 s6 W3 Y& o- C 45 21 3. 7. 5 % P# L7 d: r; G ^, c
45 25 3.5 6. 10 ) z, W! o; [3 k
45 30 2.5 6.5 20 6 E6 X7 o% c8 S4 o" [+ r
50 21 3.5 6.5 20
( H. c, z6 Y5 b. T$ d+ y4 S 50 25 2.5 7. 5 6 N; U( d8 I8 _* ^+ t1 P
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];
4 U( T% }1 G0 r H& ^1 T/ K+ tT=t';
) y2 i$ `1 p6 |, {: _5 ^! }P=p';
' a- F( k" ^/ U% S1 F( Gnet=newff(minmax(P),[12,1],{'tansig','purelin'},'trainlm');0 |0 E5 L0 x0 T A1 y1 ?* h0 J
%训练网络 net.trainParam.show=10;
2 T- j" Y s" R6 ^%net.trainParam.lr=0.05; U4 d) \6 B" P/ p0 w7 K
%net.trainParam.lr_inc=1.05;7 J. W8 ^9 v$ T& I
net.trainParam.epochs=10000;7 n: B& d; E q
net.trainParam.goal=1e-5;
! K, F w$ s) q- {- H( g% randn('seed',192736547);
; q! `) r0 L: F" J4 L% net=init(net);8 u# m) w L% B* N( g$ ]( y
[net,tr]=train(net,P,T);* n9 }, J$ J9 i ^' V. R
minmax_var=minmax(P);
' L% N$ O3 B7 @. [2 Vminmax_target=minmax(T);
3 \! x4 z0 T8 ?2 [7 ]) a; x6 Tsave('result','net','minmax_var','minmax_target'); % 将网络输 转换成. e7 P* W% S5 L m- W6 x0 `
- T, z6 p; J5 o6 y8 A load('result');
8 f1 X/ c/ L# B, n p8 p [Pnew,endPop,bestSols,trace]=ga(minmax(P),'fitness'); W) B' w3 f% R- n# V5 Y
) g n5 j* [& }8 ]6 a
%性能跟踪
* q I8 _0 z7 ? plot(trace(:,1),trace(:,3),'y-');
9 i5 F- h7 Z" B4 x hold on , @0 K* y/ ^% J, F% u/ Y) e( d- P
plot(trace(:,1),trace(:,2),'r-');9 a$ L* M% b8 g, c6 |0 @
xlabel('Generation');
6 a( K% m# V5 L# ` ylabel('Fitness');2 F, ]" Z0 O2 _4 t
legend('change of solution','average change of population');
7 _- w( n# t, ]; `5 zTRAINLM, Epoch 0/10000, MSE 12.2801/1e-005, Gradient 1739.63/1e-010
- b7 u5 v- {$ b% A3 \, F }3 l& uTRAINLM, Epoch 10/10000, MSE 0.694955/1e-005, Gradient 93.6508/1e-010
: W9 A2 w1 b+ MTRAINLM, Epoch 20/10000, MSE 0.0242391/1e-005, Gradient 2.89095/1e-010
: m; [$ Z( e% _ YTRAINLM, Epoch 30/10000, MSE 0.0206875/1e-005, Gradient 4.2655/1e-010) \7 X7 J, ?" U; F. ?
TRAINLM, Epoch 40/10000, MSE 0.0185878/1e-005, Gradient 18.249/1e-0104 P" p3 G8 L, Q% V! W! X
TRAINLM, Epoch 50/10000, MSE 0.00947447/1e-005, Gradient 55.0854/1e-010
/ A8 Y; }- r; K, T6 s* x3 sTRAINLM, Epoch 53/10000, MSE 1.24279e-006/1e-005, Gradient 0.504667/1e-010' k: Z* h; r/ ]. O
TRAINLM, Performance goal met. ??? Undefined function or variable 'minmax_target'. Error in ==> D:\MATLAB6p5p1\work\fitness.m/ A) P7 W) e1 t/ K G& G$ C
On line 2 ==> min_target=minmax_target(1); Error in ==> D:\MATLAB6p5p1\work\initializega.m
: a. `' i3 Z" ~: f/ ?' ^On line 41 ==> eval(estr); Error in ==> D:\MATLAB6p5p1\work\ga.m' s4 @* A& V1 t
On line 148 ==> startPop=initializega(80,bounds,evalFN,evalOps,opts(1:2));
$ j) A- \- n# h' Z1 f, P, @. I所使用的适应度函数是 function [sol,eval]=fitness(P,options)( g3 n6 W; V& k* e& v4 M! M8 ~
min_target=minmax_target(1);
6 n; m0 C. C& g max_target=minmax_target(2);$ A4 y# P8 I, s
eval=sim(net,P). I2 ^& m. g: m9 n& v6 O& z
if isformax" K# j# B+ w! @+ [' g- F3 D7 w
eval=eval-min_target+(max_target-min_target);
6 B! ?# `+ E& p' R else
. C+ G- L1 c3 y5 H! V6 b x eval=-eval+max_target+(max_target-min_target);
6 D) ~( R$ E5 q$ K( v+ v! t 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
