求助

422258511

p=[724.570000000000,739.774223126620,771.489090673942,804.563606600594,839.056060404793,875.027240514377,912.540541418428,951.662075391767,992.460789009143,1035.00858465455]
5 j' ~: z* E& e# N4 N7 V9 A& ]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

& K; t# }9 v' onet=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
net.trainParam.lr=0.01;
net.trainParam.epochs=10000;
4 p- }5 w' B6 B4 x9 g- K0 Z2 bnet.trainParam.goal=1e-5;
[net,tr]=train(net ,pn,tn);                              %调用TRAINGDM算法训练BP网络
1 C+ ~5 h: p& T; i+ B* m
an=sim(net,pn);                               %对BP网络进行仿真
9 D% r4 b% Z! \) H3 S" g) Ka=postmnmx(an,mint,maxt);                     %还原数据
x=2001:2010;
$ a3 q  ?4 x8 S2 l% {: }4 u% xnewk=a(1,;
plot(x,newk,'r-o',x,t,'b--+')
+ q  L) O% n2 ?( {' z8 i8 I; Q; tlegend('网络输出值/万人','实际人口数/万人');
: t1 S" A2 d+ n" }2 i! Oxlabel('年份');
* H  X6 B) ?) H, _- n0 B. }! [ylabel('人口数');
title('预测人口数对比表');
$ ^  G, t$ v6 `+ @$ E/ p" Z! i: U. K
pnew1=[1079.38044723977,1125.65457635540,1173.91252408743,1224.23933874207,1276.72371473226,1331.45814888992,1388.53910347951,1448.06717620014,1510.14727747579,1574.88881534617]
9 N' k- W4 Q' i7 S* B) {pnew=pnew1
pnewn=tramnmx(pnew,minp,maxp);
anewn=sim(net,pnewn);                               %对BP网络进行仿真
3 B/ C2 N: g8 A1 T) S. Wanew=postmnmx(anewn,mint,maxt);                     %还原数据
5 w% F3 o8 L: @' r8 ay=anew'

$ L3 t! I3 }& J, d' h' y
$ g. N  ]% L  a- X3 x预测的结果怎么都一样呀？》？？求助

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