求助

422258511

p=[724.570000000000,739.774223126620,771.489090673942,804.563606600594,839.056060404793,875.027240514377,912.540541418428,951.662075391767,992.460789009143,1035.00858465455]
t=[724.570000000000,746.620000000000,778.270000000000,800.800000000000,827.750000000000,871.100000000000,912.370000000000,954.280000000000,995.010000000000,1037.20000000000]
6 e' B  A' c/ {0 D/ `5 w) L7 `: t [pn,minp,maxp,tn,mint,maxt]=premnmx(p,t);          %原始数据归一化

# l! c$ H$ f$ I5 Unet=newff(minmax(pn),[9,1],{'tansig','purelin'},'traingdx'); %设置网络,建立相应的BP网络
* M" N  \5 V# p! E3 N4 unet.trainParam.show=2000; % 训练网络
; B: B* ^; e2 B% o1 Gnet.trainParam.lr=0.01;
net.trainParam.epochs=10000;
( C* I2 G5 k- a. F0 ]; ]net.trainParam.goal=1e-5;
[net,tr]=train(net ,pn,tn);                              %调用TRAINGDM算法训练BP网络
3 Q7 h2 L- H+ P: u; A+ I# N5 ?8 G
an=sim(net,pn);                               %对BP网络进行仿真
a=postmnmx(an,mint,maxt);                     %还原数据
x=2001:2010;
3 _4 d' ]# i( ]. a  }newk=a(1,;
plot(x,newk,'r-o',x,t,'b--+')
1 i; r* ]; \; l6 D' E" {legend('网络输出值/万人','实际人口数/万人');
3 }4 u1 \+ t! Z8 ]$ C) ?  h& Axlabel('年份');
ylabel('人口数');
5 r- P$ q& D4 @0 k0 c2 mtitle('预测人口数对比表');

pnew1=[1079.38044723977,1125.65457635540,1173.91252408743,1224.23933874207,1276.72371473226,1331.45814888992,1388.53910347951,1448.06717620014,1510.14727747579,1574.88881534617]
( a: x7 B8 v. t+ _: X  i# V; Z( kpnew=pnew1
pnewn=tramnmx(pnew,minp,maxp);
anewn=sim(net,pnewn);                               %对BP网络进行仿真
anew=postmnmx(anewn,mint,maxt);                     %还原数据
y=anew'

2 R+ r+ D- E/ |. B5 S( H
预测的结果怎么都一样呀？》？？求助

wssl103050