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%% 清空环境变量
; h& L9 ?8 D" _, s$ qclear all$ {8 o2 X4 d/ r4 a: @! m
clc& z. y" j/ Q! | B4 _8 [
%% 训练数据. H4 I" i0 y5 x# C- R1 s
P = [0 1 2 3 4 5 6 7 8 9 10];5 w1 ?1 l, a9 v' J3 A6 Z/ n
T = [0 1 2 3 4 3 2 1 2 3 4];) b& B4 T! `( j% S- R5 c, }" J
%% 创建网络" k( d% }! ]' G, l% C' K" D. |. `$ _
net = newff(minmax(P),[5 1],{'tansig','purelin'},'trainlm');
, A. y: ]+ P! k# O- M" c( V% 设置训练参数' \! M( E* v/ d
net.trainParam.epochs = 500;! f5 q: @8 a, S) {
net.trainParam.show=10;$ P' o( E8 _: ^+ b+ b
net.trainParam.goal=1e-2;7 @6 |7 t! ?3 ^2 u9 y) u7 t! _1 x
net.trainParam.lr=0.1;3 b8 B+ | ~4 N
%% 训练网络8 _& ?2 i$ {: U) p5 L) S
net = train(net,P,T);6 v; q4 P9 p; _
%% 记录权值和阈值9 Z$ N! Y# {/ n2 w
w1=net.iw{1};
$ r3 d! E- J- c( [w2=net.lw{2};
/ {8 j [2 ?% ~+ |8 T( t, Ob1=net.b{1};
7 b& E6 y, B8 D5 ub2=net.b{2};
9 A5 l' ]9 s4 }2 b/ ?, U' |" v" e%% 仿真测试9 _0 T8 H4 M0 `* x6 U- Z( [2 M
Y1= sim(net,P)# [- w9 {+ s( v
%% 手动计算一
" N: M9 \0 X1 U0 V4 ~/ la=tansig(w1*P,b1);4 t G0 O! g' A" h
Y2=purelin(w2*a,b2)
( k2 c* X, u! H4 D _$ Y%% 手动计算二
, U0 P9 Q1 j" R& N4 Qb=tansig(w1*P+repmat(b1,1,size(P,2)));. F+ M: D3 {+ V m
Y3=purelin(w2*b+repmat(b2,1,size(P,2))); T4 D( l z2 b [: q+ p) h) k% l
%% 判断是否相等
' F( j# _" E. ~4 K5 p& `) Yflag=isequal(Y1,Y2) && isequal(Y1,Y3) |
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