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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
6 c3 a3 @6 F& L 40 25 3. 6.5 10 . B% W2 R) W( W) J0 K3 y8 A
40 30 3.5 7. 20
! Q* y. X: r, L; ^( }6 O 45 21 2.5 6.5 10 " \$ [5 f7 r( l4 Z- @
45 25 3. 7. 20 ! T5 H3 d: U9 Z0 u+ K- z
45 30 3.5 6. 5
3 s8 s: x+ [* c) H# w6 U. z 50 21 3. 6. 20
5 g' r" y4 O( X5 q' f# U 50 25 3.5 6.5 5
' R- n- a7 i; `. Z/ O; m 50 30 2.5 7. 10
9 Z8 ?" D! |2 ], V- {5 s o 40 21 3.5 7. 10 4 C9 g/ T J: m4 G
40 25 2.5 6. 20 ! E) ?& |" @0 d
40 30 3. 6.5 5
/ m0 r# x9 @+ g3 E6 O 45 21 3. 7. 5
9 Q* l7 t3 c; `' F) v' x) t 45 25 3.5 6. 10
P7 }! B: D/ z3 Z4 P/ z. V8 { 45 30 2.5 6.5 20
4 g% R/ e6 @6 r# H4 { 50 21 3.5 6.5 20 9 b! t9 U5 f1 {
50 25 2.5 7. 5
( A0 X$ F/ K8 j" S 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];
( j2 w* k% S; O0 PT=t';1 w- U& ~1 m4 N5 u$ @
P=p';/ S8 E2 `8 p# E4 ^' J" T, v
net=newff(minmax(P),[12,1],{'tansig','purelin'},'trainlm');8 A2 m, w. I. }) B9 s% u
%训练网络 net.trainParam.show=10;
; E/ ?4 R& l& o& f%net.trainParam.lr=0.05;: r) A& l, p( O# d5 o
%net.trainParam.lr_inc=1.05;" e; T4 F) u/ I" w& G1 h3 ~
net.trainParam.epochs=10000;, N2 k3 g5 `) T; d6 l
net.trainParam.goal=1e-5;
8 R4 ^4 ^" A& H$ r( V8 E% randn('seed',192736547);, f, B9 m* D- s0 t
% net=init(net);% }3 o: @$ r+ P; [: H" t$ Z" k y
[net,tr]=train(net,P,T);; L6 J1 A* B" V
minmax_var=minmax(P);
0 I! R3 ~/ H) B8 }' cminmax_target=minmax(T);
6 m/ ^4 e7 K1 {5 l5 x+ H% I% }save('result','net','minmax_var','minmax_target'); % 将网络输 转换成* T, P( l: L) ^* H, Z
, p) r" k8 C8 L) {) r3 L' s load('result');
9 W# x. B. C" |8 g- a4 \ [Pnew,endPop,bestSols,trace]=ga(minmax(P),'fitness');
8 ?% |5 t4 i. L m
8 o8 q+ m a0 `# V %性能跟踪- K* M+ U4 g% Z4 s0 R+ Q% E
plot(trace(:,1),trace(:,3),'y-');
: k( x2 d7 p1 L: \0 \& J" e6 q hold on : M7 \2 l% r, P
plot(trace(:,1),trace(:,2),'r-');
) q/ b/ a+ g! i0 m0 x xlabel('Generation');' X2 F* [3 m6 ]7 l; U
ylabel('Fitness');
' j1 _- C1 I- U% ]0 F2 Y# M0 T legend('change of solution','average change of population');
/ U* z0 w. u+ V# wTRAINLM, Epoch 0/10000, MSE 12.2801/1e-005, Gradient 1739.63/1e-010
2 F$ @: K/ R! A8 M9 n3 T/ UTRAINLM, Epoch 10/10000, MSE 0.694955/1e-005, Gradient 93.6508/1e-0100 |. E4 F& b9 f1 J3 [
TRAINLM, Epoch 20/10000, MSE 0.0242391/1e-005, Gradient 2.89095/1e-010, Y5 ?4 l$ s, {6 Q8 I2 |% g2 b5 B
TRAINLM, Epoch 30/10000, MSE 0.0206875/1e-005, Gradient 4.2655/1e-010( C! K% M. [8 ?$ p7 v1 Z
TRAINLM, Epoch 40/10000, MSE 0.0185878/1e-005, Gradient 18.249/1e-010
9 f1 i2 j, w3 d3 v: d, yTRAINLM, Epoch 50/10000, MSE 0.00947447/1e-005, Gradient 55.0854/1e-0107 Z$ Z/ x8 m1 \2 |. v$ v% Z3 Z( j
TRAINLM, Epoch 53/10000, MSE 1.24279e-006/1e-005, Gradient 0.504667/1e-010
! J. U0 q# k& P; {4 WTRAINLM, Performance goal met. ??? Undefined function or variable 'minmax_target'. Error in ==> D:\MATLAB6p5p1\work\fitness.m+ c- f2 ] ~1 t/ j
On line 2 ==> min_target=minmax_target(1); Error in ==> D:\MATLAB6p5p1\work\initializega.m; r9 G# d( H9 j0 m/ W1 ~
On line 41 ==> eval(estr); Error in ==> D:\MATLAB6p5p1\work\ga.m
4 p" F! r; p+ Q* G9 MOn line 148 ==> startPop=initializega(80,bounds,evalFN,evalOps,opts(1:2));8 K5 M/ B. ]& r1 n" v1 I
所使用的适应度函数是 function [sol,eval]=fitness(P,options)$ L( p$ `- h* E( V" ]0 o
min_target=minmax_target(1);6 A" L) J/ V @+ m8 Z
max_target=minmax_target(2);+ P! M4 r+ m4 \. V9 T
eval=sim(net,P)
- k# } T( z5 e! q3 A3 W9 Z if isformax
% a$ k! |7 w2 \ O E7 v0 r eval=eval-min_target+(max_target-min_target);
7 O* k% x* F8 I- C else
" H( E6 c% N k9 X3 M E/ `$ f. s9 ] eval=-eval+max_target+(max_target-min_target);% p+ ?7 f' o& ^ c6 ^
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发表于 2005-1-22 22:42
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发表于 2005-1-23 12:26
