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
, ?7 ]6 U1 H- b$ Y; ~net.trainParam.show=2000; % 训练网络
& t$ h2 `, V9 `2 p$ c0 Dnet.trainParam.lr=0.01;
net.trainParam.epochs=10000;
) T2 s" Z1 e/ Z7 T8 X& Fnet.trainParam.goal=1e-5;
# w- k& @& ?  [1 X- \( o[net,tr]=train(net ,pn,tn);                              %调用TRAINGDM算法训练BP网络
5 j8 w* ^# b$ E& D8 Z. B9 F0 Q6 Z. ]# {
an=sim(net,pn);                               %对BP网络进行仿真
: E  l, R& D0 l  z! _6 z1 Qa=postmnmx(an,mint,maxt);                     %还原数据
) v8 [3 |0 K& Q2 b3 _x=2001:2010;
5 L* Z# g; u. k% d' Cnewk=a(1,;
plot(x,newk,'r-o',x,t,'b--+')
6 E3 j! e$ K7 n! H! s1 |legend('网络输出值/万人','实际人口数/万人');
; Y/ w2 x- V6 Y& w5 k# ]* R' zxlabel('年份');
8 Y0 m+ y8 y' {' Dylabel('人口数');
title('预测人口数对比表');

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
7 Z# G* X% m1 Q( H/ p( Py=anew'


8 h4 f* H( N% ]6 h8 i/ r2 ?预测的结果怎么都一样呀？》？？求助

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