求助

422258511

p=[724.570000000000,739.774223126620,771.489090673942,804.563606600594,839.056060404793,875.027240514377,912.540541418428,951.662075391767,992.460789009143,1035.00858465455]
$ d) n+ s1 P0 Y" n" h7 tt=[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
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1 V; |" C5 c  gnet=newff(minmax(pn),[9,1],{'tansig','purelin'},'traingdx'); %设置网络,建立相应的BP网络
0 F2 i+ r; r0 y4 `net.trainParam.show=2000; % 训练网络
. B0 h, z2 E0 K& h! tnet.trainParam.lr=0.01;
net.trainParam.epochs=10000;
6 \% f3 N' T( @5 nnet.trainParam.goal=1e-5;
[net,tr]=train(net ,pn,tn);                              %调用TRAINGDM算法训练BP网络
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an=sim(net,pn);                               %对BP网络进行仿真
  g  a$ z* W& U- ~8 j, ra=postmnmx(an,mint,maxt);                     %还原数据
x=2001:2010;
newk=a(1,;
plot(x,newk,'r-o',x,t,'b--+')
/ W" J! Z$ f  n  h* q  ?legend('网络输出值/万人','实际人口数/万人');
9 |" I9 F! r; c+ x4 j7 txlabel('年份');
5 z7 d* h( {) C% u5 L, Z( y9 Eylabel('人口数');
; Y/ _& f' [: b; t# Otitle('预测人口数对比表');

  `/ ~2 F- F1 A5 vpnew1=[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);
! `% v) z# V1 r& j% k5 s  X0 r4 M- {anewn=sim(net,pnewn);                               %对BP网络进行仿真
anew=postmnmx(anewn,mint,maxt);                     %还原数据
y=anew'
; G5 n( C  U$ S! K% r; H

预测的结果怎么都一样呀？》？？求助

wssl103050