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

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
" }$ |$ ^; l1 _8 W; E; l3 y( _net.trainParam.lr=0.01;
; X$ ~# F4 m% E& |) {$ Anet.trainParam.epochs=10000;
net.trainParam.goal=1e-5;
& T# _3 u: [; P3 r( J[net,tr]=train(net ,pn,tn);                              %调用TRAINGDM算法训练BP网络
% t9 v& N0 P* z" B* K6 `
an=sim(net,pn);                               %对BP网络进行仿真
a=postmnmx(an,mint,maxt);                     %还原数据
x=2001:2010;
: @; a) R$ H6 I9 H& H; V/ @/ t; qnewk=a(1,;
. R' [9 c2 `/ Dplot(x,newk,'r-o',x,t,'b--+')
& X9 h  T! w, `% r2 X9 zlegend('网络输出值/万人','实际人口数/万人');
5 ~; s# s7 B$ F& o" d. \% k% S7 zxlabel('年份');
- ?" t) ?4 y% v3 X# H5 s8 zylabel('人口数');
title('预测人口数对比表');

, M2 s+ U# G, @pnew1=[1079.38044723977,1125.65457635540,1173.91252408743,1224.23933874207,1276.72371473226,1331.45814888992,1388.53910347951,1448.06717620014,1510.14727747579,1574.88881534617]
9 M2 \/ Y: g6 m8 kpnew=pnew1
pnewn=tramnmx(pnew,minp,maxp);
anewn=sim(net,pnewn);                               %对BP网络进行仿真
" J9 t$ L/ @  ]- sanew=postmnmx(anewn,mint,maxt);                     %还原数据
! M/ i4 V. x1 d1 zy=anew'
' k2 z' m8 P; H
8 f6 K/ k. a% f4 t
预测的结果怎么都一样呀？》？？求助

wssl103050