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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 : O' q; A" h/ e/ H# S2 N. u9 E
40 25 3. 6.5 10 4 |7 s/ d* x% m
40 30 3.5 7. 20
9 E2 L) @0 t+ e, P% q1 u. {% I 45 21 2.5 6.5 10
8 \" q: m, |" Q2 g5 ^1 i 45 25 3. 7. 20
# |1 Y! k9 y2 i% R/ L& {6 w 45 30 3.5 6. 5 ! a0 O- U( L7 }9 S6 U1 d/ V" f0 a
50 21 3. 6. 20 1 k3 ?. [5 A1 e, U$ N' r, l0 o
50 25 3.5 6.5 5
+ @' ^: G3 q2 Q 50 30 2.5 7. 10
" p+ j* F% [& B7 g/ A& l# i 40 21 3.5 7. 10
1 K, u- S: T$ ]. c6 L- z/ t 40 25 2.5 6. 20
6 F; A! ~- G% X2 I- Y* H 40 30 3. 6.5 5 - y2 M) [; s; v
45 21 3. 7. 5 # r: G# D7 Y; {9 T, Y
45 25 3.5 6. 10 * D0 ?# A: I3 t- p& ~
45 30 2.5 6.5 20 . m' ^* P( Y8 }! S: ~9 ?: N5 O
50 21 3.5 6.5 20
, |5 I X, [2 D& t/ K) o 50 25 2.5 7. 5 ' ~/ d' C. t$ j$ j
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 s+ U' X5 t# {5 u! uT=t';7 S9 @! f0 ^7 t( m2 y. K5 Y
P=p';
% m) D {/ D0 d# p5 M6 |net=newff(minmax(P),[12,1],{'tansig','purelin'},'trainlm');. x. y" ~- Y' p0 M1 |9 E
%训练网络 net.trainParam.show=10;& p) e g E- T/ \6 l6 @9 k% d$ s
%net.trainParam.lr=0.05;* ]. w' C9 Q- I- N* ?) ]
%net.trainParam.lr_inc=1.05;
$ s; w1 [ {4 h% T; R! pnet.trainParam.epochs=10000;3 t0 n# ?4 i: p! s. M7 |' b
net.trainParam.goal=1e-5; 7 R- f' I9 |/ S7 ?
% randn('seed',192736547);
2 g8 i& j3 J3 f$ b- f0 q, }8 Q9 k% net=init(net);
( j" }6 w; E& h$ J. Y* x1 o7 R/ i/ G2 j[net,tr]=train(net,P,T);
; A" R4 g9 J/ V8 j, C c8 Bminmax_var=minmax(P);# U% C& z7 z' {
minmax_target=minmax(T);* ]& [# U/ u c, a# ]3 k$ z
save('result','net','minmax_var','minmax_target'); % 将网络输 转换成* m& S# ]0 G- f+ X, u
9 W0 J5 G5 P m4 s# `+ u9 n" k load('result');7 h+ |" w/ q- Z, u3 l7 }8 D$ F7 l* t
[Pnew,endPop,bestSols,trace]=ga(minmax(P),'fitness');( g8 q4 g$ v) ?+ _# B
5 v# I9 V9 z+ _: q7 `' r
%性能跟踪
+ m4 k2 T8 f$ P8 B2 K plot(trace(:,1),trace(:,3),'y-');! W' Q7 r0 U% L/ g& z
hold on
; ]9 X3 l: b, B! L& Q3 d4 } plot(trace(:,1),trace(:,2),'r-');. A7 d/ D+ L" S
xlabel('Generation');+ c: W! ~# ?. s1 X' B' D0 C* _0 O
ylabel('Fitness');. E: z5 V B/ N1 o
legend('change of solution','average change of population');) Y: W, E2 h" C: n5 p/ {* R# l/ ^
TRAINLM, Epoch 0/10000, MSE 12.2801/1e-005, Gradient 1739.63/1e-010( x" U, Y: G, p; V: V+ P
TRAINLM, Epoch 10/10000, MSE 0.694955/1e-005, Gradient 93.6508/1e-010
' u; s9 s# Z- n, X& I4 NTRAINLM, Epoch 20/10000, MSE 0.0242391/1e-005, Gradient 2.89095/1e-0102 M" U3 K! N2 k2 X1 B9 G$ N
TRAINLM, Epoch 30/10000, MSE 0.0206875/1e-005, Gradient 4.2655/1e-010' A# P' H8 V( m/ g3 S. F. V
TRAINLM, Epoch 40/10000, MSE 0.0185878/1e-005, Gradient 18.249/1e-010
y( y0 t& h/ H- wTRAINLM, Epoch 50/10000, MSE 0.00947447/1e-005, Gradient 55.0854/1e-010
+ }8 B; V& q6 K$ `TRAINLM, Epoch 53/10000, MSE 1.24279e-006/1e-005, Gradient 0.504667/1e-010; |# l- {) @0 }% u9 q& q
TRAINLM, Performance goal met. ??? Undefined function or variable 'minmax_target'. Error in ==> D:\MATLAB6p5p1\work\fitness.m
6 ?: @) Q; C, i, j* I2 vOn line 2 ==> min_target=minmax_target(1); Error in ==> D:\MATLAB6p5p1\work\initializega.m
; w! k# Y8 K' p7 a* ~5 zOn line 41 ==> eval(estr); Error in ==> D:\MATLAB6p5p1\work\ga.m7 }& x, i* r8 F g. H
On line 148 ==> startPop=initializega(80,bounds,evalFN,evalOps,opts(1:2));) i% ?) K2 c% K+ L6 g9 v& ]; K
所使用的适应度函数是 function [sol,eval]=fitness(P,options)3 z8 D0 ?; D8 g& o7 f1 }
min_target=minmax_target(1);
+ O+ G/ }' G V' n. M max_target=minmax_target(2);
. `! ^( K, \3 ^' K2 a eval=sim(net,P)
+ {( x9 C& S; ~. y& z$ ~ if isformax
2 |# U8 S& Y; I% L& F9 c' I6 p$ i eval=eval-min_target+(max_target-min_target);
+ ~( F# Y/ @1 p; e- j else- \% t+ q! A- t" ?, e
eval=-eval+max_target+(max_target-min_target);3 b% u% j3 C% \6 O$ j% _
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
