|
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 ! W2 x; y. S) e5 W
40 25 3. 6.5 10
, i% U9 a0 D2 [: v% J* d% E 40 30 3.5 7. 20
: d1 ~( b; i+ e1 s% Y# ^/ j1 f: b 45 21 2.5 6.5 10 3 s0 v! G, O5 a7 O( N7 P
45 25 3. 7. 20 ; @+ N! [+ H! n% @, B
45 30 3.5 6. 5 4 B* V1 X/ s: u" ]/ |9 O: V
50 21 3. 6. 20
! l) U$ a) u/ M, x5 O 50 25 3.5 6.5 5 4 {# J+ Q( L) ^2 Z' s! X# B
50 30 2.5 7. 10
. A; S+ E0 w3 } l 40 21 3.5 7. 10
8 _0 d, {: g( ? 40 25 2.5 6. 20
& {% q- \8 O Q( C$ o! k 40 30 3. 6.5 5
, I, B2 C# q% Q$ ~- \4 I 45 21 3. 7. 5 1 p1 V2 s5 s6 V
45 25 3.5 6. 10 8 x% ]* Q+ e( T- W, V
45 30 2.5 6.5 20
# L* ?/ ?* A9 L% P5 Z! B4 [* ]6 M 50 21 3.5 6.5 20
& T2 G! I! h& L, a, \ 50 25 2.5 7. 5
2 c6 @1 i4 @; {5 J8 d' |+ ], z' Y 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 }, [' z$ u' c, ~T=t';
4 q8 D: Z: Z4 X. c$ K' {: gP=p';
8 r# N3 k- X7 j; C) z Qnet=newff(minmax(P),[12,1],{'tansig','purelin'},'trainlm');6 J" U( R" E$ O% v/ \, p
%训练网络 net.trainParam.show=10;
. z/ i) C& r! B$ {- N: T6 n%net.trainParam.lr=0.05;1 r7 X3 T5 [3 M k) m
%net.trainParam.lr_inc=1.05;
& D, C. j% Y* b/ R! k( Dnet.trainParam.epochs=10000;% ^4 j3 c6 Y: O" G5 }
net.trainParam.goal=1e-5; . X1 _4 Z, o. @/ b: @9 E
% randn('seed',192736547);
/ s+ f, j3 \0 V1 j% net=init(net);. k2 D1 n3 m0 ?1 {# J
[net,tr]=train(net,P,T);
, j! C* z# L9 R+ t7 \- |. Rminmax_var=minmax(P);9 |8 e+ J3 s5 |1 a7 M" _3 J
minmax_target=minmax(T);) c M6 Z$ {+ i7 r, K
save('result','net','minmax_var','minmax_target'); % 将网络输 转换成" J: i) q: p: Z3 W. y5 {+ C
6 c3 B0 q/ R. @8 U, W load('result');6 k2 {) z2 h, c; Q9 W6 A; K4 p
[Pnew,endPop,bestSols,trace]=ga(minmax(P),'fitness');7 h! @9 O" V& p
8 c+ b: }% _- U; a+ }% { %性能跟踪# W* m8 Y) K0 k! L* m
plot(trace(:,1),trace(:,3),'y-');
# X o) u; P; B8 S$ P' M u0 u hold on
" C' l" S4 I! N( w' O/ T/ n' }( _# m& R plot(trace(:,1),trace(:,2),'r-');
% M* \3 r% m( I xlabel('Generation');) x2 _8 V! x4 y
ylabel('Fitness');
' }% `8 N# T9 X0 t% `8 {+ r legend('change of solution','average change of population');5 S5 \: \. \8 f" u7 }# g1 J
TRAINLM, Epoch 0/10000, MSE 12.2801/1e-005, Gradient 1739.63/1e-010
) x1 c0 C! L9 |, j" ZTRAINLM, Epoch 10/10000, MSE 0.694955/1e-005, Gradient 93.6508/1e-0107 K1 V' v" s7 f
TRAINLM, Epoch 20/10000, MSE 0.0242391/1e-005, Gradient 2.89095/1e-010
% {* d1 W6 a% Y$ A2 Y: lTRAINLM, Epoch 30/10000, MSE 0.0206875/1e-005, Gradient 4.2655/1e-010! C. I* t+ M$ E- Y( u
TRAINLM, Epoch 40/10000, MSE 0.0185878/1e-005, Gradient 18.249/1e-010
; ?7 A8 w) `1 B8 t |& n) ~5 wTRAINLM, Epoch 50/10000, MSE 0.00947447/1e-005, Gradient 55.0854/1e-010* ^' k2 ?% g+ u
TRAINLM, Epoch 53/10000, MSE 1.24279e-006/1e-005, Gradient 0.504667/1e-010
$ j+ h4 {6 i7 h7 h+ E$ I7 iTRAINLM, Performance goal met. ??? Undefined function or variable 'minmax_target'. Error in ==> D:\MATLAB6p5p1\work\fitness.m' [2 `9 O2 d4 m3 F( A
On line 2 ==> min_target=minmax_target(1); Error in ==> D:\MATLAB6p5p1\work\initializega.m& _+ B1 P Z$ `7 Y5 n
On line 41 ==> eval(estr); Error in ==> D:\MATLAB6p5p1\work\ga.m8 G& p G- d7 r7 O$ c' Y: g
On line 148 ==> startPop=initializega(80,bounds,evalFN,evalOps,opts(1:2));7 E) N! h& Q5 F; R# _7 m7 m4 X
所使用的适应度函数是 function [sol,eval]=fitness(P,options)$ \/ u7 D, G+ Q, s3 J
min_target=minmax_target(1);* B# y5 l' `5 m7 {- p" T' O: X
max_target=minmax_target(2);
# r# |+ ~# h) w' g7 c* i" [ O eval=sim(net,P)
! w; z( V4 i# e6 Y if isformax
% N" j0 o) b; B$ r0 {, z eval=eval-min_target+(max_target-min_target);
, D3 x: ?, a* e, x" w/ L else7 d4 V9 C8 G; p" N1 o4 j
eval=-eval+max_target+(max_target-min_target);! C6 X4 I$ V* L
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
