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]
[pn,minp,maxp,tn,mint,maxt]=premnmx(p,t);          %原始数据归一化

1 r$ B  Z- C( S" K1 Rnet=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
- t4 ^" e' r! c' y" e: u4 tnet.trainParam.lr=0.01;
net.trainParam.epochs=10000;
net.trainParam.goal=1e-5;
" Q8 N6 M/ \) v; E/ X! Z[net,tr]=train(net ,pn,tn);                              %调用TRAINGDM算法训练BP网络
) v, @$ J& S% K4 q7 m
an=sim(net,pn);                               %对BP网络进行仿真
a=postmnmx(an,mint,maxt);                     %还原数据
x=2001:2010;
newk=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');
! m' Q$ x+ @4 y$ H( \2 jxlabel('年份');
ylabel('人口数');
title('预测人口数对比表');

/ x( T4 {. p$ E5 xpnew1=[1079.38044723977,1125.65457635540,1173.91252408743,1224.23933874207,1276.72371473226,1331.45814888992,1388.53910347951,1448.06717620014,1510.14727747579,1574.88881534617]
pnew=pnew1
8 P' q7 K" n, j* M- ppnewn=tramnmx(pnew,minp,maxp);
; v  c$ r  L( `6 {3 t, O* r6 e2 Ranewn=sim(net,pnewn);                               %对BP网络进行仿真
anew=postmnmx(anewn,mint,maxt);                     %还原数据
y=anew'
, ]9 t  k7 U; o( K6 L7 Q
/ b5 g3 U2 j* o3 x
预测的结果怎么都一样呀？》？？求助

wssl103050