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

' u; d2 _7 T5 _: F  s  C8 Znet=newff(minmax(pn),[9,1],{'tansig','purelin'},'traingdx'); %设置网络,建立相应的BP网络
9 s, M/ j6 J7 i7 Wnet.trainParam.show=2000; % 训练网络
: @+ Q. g8 z- l2 i7 Y2 S- H! O2 \8 G4 ~6 Jnet.trainParam.lr=0.01;
. f9 D: q& F% hnet.trainParam.epochs=10000;
' O4 w1 z8 D$ |' v9 b- Bnet.trainParam.goal=1e-5;
[net,tr]=train(net ,pn,tn);                              %调用TRAINGDM算法训练BP网络
1 {0 Q/ I6 C" w) L- I
0 @1 x& E8 J+ X$ Jan=sim(net,pn);                               %对BP网络进行仿真
a=postmnmx(an,mint,maxt);                     %还原数据
9 n" G3 E4 }; N4 D6 _" Z$ J' R4 E* H0 ^x=2001:2010;
newk=a(1,;
! F2 `2 x3 d" ?( ^7 y7 _! l' Cplot(x,newk,'r-o',x,t,'b--+')
legend('网络输出值/万人','实际人口数/万人');
, F/ {% X4 l* G+ h8 ]2 w" oxlabel('年份');
ylabel('人口数');
title('预测人口数对比表');

. b; }) q+ F" ^! G$ N, O0 @pnew1=[1079.38044723977,1125.65457635540,1173.91252408743,1224.23933874207,1276.72371473226,1331.45814888992,1388.53910347951,1448.06717620014,1510.14727747579,1574.88881534617]
pnew=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
3 P7 S' t' @5 k# ]0 Xy=anew'

1 v  r+ m( c4 k8 X+ q2 o0 n
2 n/ \, E  a6 u' C+ |* f预测的结果怎么都一样呀？》？？求助

wssl103050