求助

422258511

p=[724.570000000000,739.774223126620,771.489090673942,804.563606600594,839.056060404793,875.027240514377,912.540541418428,951.662075391767,992.460789009143,1035.00858465455]
' b( l3 ^2 q* Q  D6 h% p/ F) ]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
. s1 v9 l  F7 E& S" z; k/ Z6 cnet.trainParam.lr=0.01;
net.trainParam.epochs=10000;
net.trainParam.goal=1e-5;
[net,tr]=train(net ,pn,tn);                              %调用TRAINGDM算法训练BP网络
; L: V2 _1 x8 }! r3 _
+ N* R" s9 n' K2 _  A. |( n' zan=sim(net,pn);                               %对BP网络进行仿真
a=postmnmx(an,mint,maxt);                     %还原数据
0 g1 r% j' w# F: o% rx=2001:2010;
newk=a(1,;
( j6 K0 w  H% o/ ?plot(x,newk,'r-o',x,t,'b--+')
2 u0 |7 D4 ?0 x) N( |3 dlegend('网络输出值/万人','实际人口数/万人');
/ b. o# h! S  _; Wxlabel('年份');
6 o% W6 ?0 ~7 ^! G8 jylabel('人口数');
title('预测人口数对比表');
4 e6 }. \3 n, M' B2 m  \7 \# f9 ^
pnew1=[1079.38044723977,1125.65457635540,1173.91252408743,1224.23933874207,1276.72371473226,1331.45814888992,1388.53910347951,1448.06717620014,1510.14727747579,1574.88881534617]
pnew=pnew1
- L8 |2 e' Q; q( kpnewn=tramnmx(pnew,minp,maxp);
anewn=sim(net,pnewn);                               %对BP网络进行仿真
* I4 p. w, D- V! F- nanew=postmnmx(anewn,mint,maxt);                     %还原数据
y=anew'


预测的结果怎么都一样呀？》？？求助

wssl103050