求助

422258511

p=[724.570000000000,739.774223126620,771.489090673942,804.563606600594,839.056060404793,875.027240514377,912.540541418428,951.662075391767,992.460789009143,1035.00858465455]
8 p7 E+ F  q7 ?# t' ]t=[724.570000000000,746.620000000000,778.270000000000,800.800000000000,827.750000000000,871.100000000000,912.370000000000,954.280000000000,995.010000000000,1037.20000000000]
[pn,minp,maxp,tn,mint,maxt]=premnmx(p,t);          %原始数据归一化
# M9 m$ Y2 C% U/ Y, y
net=newff(minmax(pn),[9,1],{'tansig','purelin'},'traingdx'); %设置网络,建立相应的BP网络
net.trainParam.show=2000; % 训练网络
2 ~$ f' l' O) D* _" qnet.trainParam.lr=0.01;
net.trainParam.epochs=10000;
" ?) t& M% W( t* i# W8 vnet.trainParam.goal=1e-5;
[net,tr]=train(net ,pn,tn);                              %调用TRAINGDM算法训练BP网络
. F0 n* `" k1 B' y; G7 O
an=sim(net,pn);                               %对BP网络进行仿真
a=postmnmx(an,mint,maxt);                     %还原数据
1 p! S2 k' C! e5 ]& z. r( Dx=2001:2010;
1 R! c, L( _; p1 W/ U) Dnewk=a(1,;
plot(x,newk,'r-o',x,t,'b--+')
legend('网络输出值/万人','实际人口数/万人');
0 r* _/ t0 c; V) V1 D4 F1 jxlabel('年份');
) e; N/ Y% ]& o+ t8 G  E. E4 Gylabel('人口数');
6 j# ^$ ~7 _' g2 j& _. ~# L% F1 Dtitle('预测人口数对比表');
8 i! }1 u& N* W/ ^1 e
8 X; j" w1 U) Ppnew1=[1079.38044723977,1125.65457635540,1173.91252408743,1224.23933874207,1276.72371473226,1331.45814888992,1388.53910347951,1448.06717620014,1510.14727747579,1574.88881534617]
- P' |9 U* g( G3 Apnew=pnew1
pnewn=tramnmx(pnew,minp,maxp);
anewn=sim(net,pnewn);                               %对BP网络进行仿真
$ m4 Q* N. j! Vanew=postmnmx(anewn,mint,maxt);                     %还原数据
y=anew'
# H& T8 y% O' t$ H2 k# p# }, ^
3 H) l6 q% o: S* R( z  |
预测的结果怎么都一样呀？》？？求助

wssl103050