|
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
. a% ~6 v, `* R+ T' v 40 25 3. 6.5 10 3 x% r4 o' ?0 X9 k6 n
40 30 3.5 7. 20 8 b( x! g: U' _7 D) E/ p
45 21 2.5 6.5 10 , _: ~; ~8 s% s, y2 ]
45 25 3. 7. 20 - G* X1 S- ] ~! m' k3 V! m, ^
45 30 3.5 6. 5
( P% c# b) q% x; O9 L 50 21 3. 6. 20
! `% f; d+ p: k3 n& B0 m6 { 50 25 3.5 6.5 5 % w% Q1 ?: R$ K( y& J V
50 30 2.5 7. 10
3 ]/ J5 f4 {3 T: k 40 21 3.5 7. 10
9 l7 w, E3 K" l3 O" v 40 25 2.5 6. 20
* D0 B- z7 S" R# {9 S( C/ N 40 30 3. 6.5 5
6 F" E5 k5 Q. w# N* B) V3 R, b 45 21 3. 7. 5 ; @; @+ _( S& {0 {1 Z& w* O
45 25 3.5 6. 10
! B/ X' p* p2 O& y' ]5 W 45 30 2.5 6.5 20 + W1 H/ @* K( w1 d$ O
50 21 3.5 6.5 20 # t( @3 H) y2 K4 X; C( d
50 25 2.5 7. 5 , n7 Q/ Z- f* h7 Q# P) L% 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];9 X2 i4 L2 Q, A1 n; N/ q: m+ Y0 w
T=t';
5 G. R* Q9 K Q* Z0 P" cP=p';4 @( q/ B" o" ~6 }8 Z5 G
net=newff(minmax(P),[12,1],{'tansig','purelin'},'trainlm');* A3 p/ R, z( {. S- N6 z7 Z
%训练网络 net.trainParam.show=10;9 G5 N$ @2 }8 e# |8 p% Y
%net.trainParam.lr=0.05;
5 [1 v" e' Y& V4 `0 a%net.trainParam.lr_inc=1.05;
* H: a0 F1 h; s) a: gnet.trainParam.epochs=10000;8 B0 _; K) c$ v
net.trainParam.goal=1e-5;
. q8 `' j6 b0 C- G7 T% randn('seed',192736547);
, k0 y0 \3 L: b( K5 l% net=init(net);
1 F [. A1 g) d8 z6 K7 E! K6 F) N" y[net,tr]=train(net,P,T);# Z5 ?9 R3 a+ k( S l9 O
minmax_var=minmax(P);
4 v6 j1 U4 _* C# L. D6 O% tminmax_target=minmax(T);
8 Y5 A; D( Y& {6 R+ I7 E& y" Csave('result','net','minmax_var','minmax_target'); % 将网络输 转换成6 |8 [" o+ j- G E
$ H. I+ \6 D7 O$ m! T load('result');
! P; T0 X2 K: _" w8 J# D [Pnew,endPop,bestSols,trace]=ga(minmax(P),'fitness');) Q) I4 P6 T" ?9 W1 J" t2 g) s
8 d% x0 h! I$ e, U4 s4 N3 _; n8 `
%性能跟踪
% ~8 v; k2 J& z; \, f2 `# P plot(trace(:,1),trace(:,3),'y-');. ~8 G* y, {8 r9 R& M4 X
hold on
3 v& V9 D: ]: t. K4 }3 i plot(trace(:,1),trace(:,2),'r-');
$ a# i5 v* {9 K1 L, g1 T$ I xlabel('Generation');$ f3 Y# V# U) ~4 N' T: G# J; D
ylabel('Fitness');
/ b% p/ I3 T/ L/ ^. B. C" l% X$ X3 _; q legend('change of solution','average change of population');, |6 f5 k' i6 o& A
TRAINLM, Epoch 0/10000, MSE 12.2801/1e-005, Gradient 1739.63/1e-010
: P+ u. K& s0 L8 E6 {# kTRAINLM, Epoch 10/10000, MSE 0.694955/1e-005, Gradient 93.6508/1e-010
) {5 U D! b6 y0 s# dTRAINLM, Epoch 20/10000, MSE 0.0242391/1e-005, Gradient 2.89095/1e-010
- X5 E+ Q, }) A- x# hTRAINLM, Epoch 30/10000, MSE 0.0206875/1e-005, Gradient 4.2655/1e-010
/ s; l' W* c7 r4 aTRAINLM, Epoch 40/10000, MSE 0.0185878/1e-005, Gradient 18.249/1e-010
: N4 o3 G. B. R- |TRAINLM, Epoch 50/10000, MSE 0.00947447/1e-005, Gradient 55.0854/1e-010
7 V" v4 z+ `& d, CTRAINLM, Epoch 53/10000, MSE 1.24279e-006/1e-005, Gradient 0.504667/1e-0104 Y2 o! _! `8 V [
TRAINLM, Performance goal met. ??? Undefined function or variable 'minmax_target'. Error in ==> D:\MATLAB6p5p1\work\fitness.m
$ k/ U: d! S, P- o, ^( k3 s# LOn line 2 ==> min_target=minmax_target(1); Error in ==> D:\MATLAB6p5p1\work\initializega.m
3 N5 E( q2 k+ \! WOn line 41 ==> eval(estr); Error in ==> D:\MATLAB6p5p1\work\ga.m# j% ]* N6 \% A& R
On line 148 ==> startPop=initializega(80,bounds,evalFN,evalOps,opts(1:2));
* J( |$ c, {1 L! S! r所使用的适应度函数是 function [sol,eval]=fitness(P,options)1 d$ j" Z1 k4 s3 r3 k- M' k
min_target=minmax_target(1);
! l6 g2 ^5 D0 h( X0 _/ o max_target=minmax_target(2);2 ?$ z( ?4 e8 f0 J
eval=sim(net,P)% t5 E! r" k3 |. G
if isformax
7 f+ [1 Z* Q+ B! Z% Q Y' ?) { eval=eval-min_target+(max_target-min_target);
# [) w+ s8 h3 t* P else& e6 H( V5 G8 u! h5 I J
eval=-eval+max_target+(max_target-min_target);* l$ N; O- W- O& Q
end | 
IP卡
狗仔卡
发表于 2005-1-22 22:42
转播
淘帖
分享
收藏
支持
反对
微信
提升卡
置顶卡
沉默卡
喧嚣卡
变色卡
抢沙发
显身卡
发表于 2005-1-23 12:26
