求助

422258511

p=[724.570000000000,739.774223126620,771.489090673942,804.563606600594,839.056060404793,875.027240514377,912.540541418428,951.662075391767,992.460789009143,1035.00858465455]
* G. v) y4 z4 y1 u; B4 Rt=[724.570000000000,746.620000000000,778.270000000000,800.800000000000,827.750000000000,871.100000000000,912.370000000000,954.280000000000,995.010000000000,1037.20000000000]
* B4 X1 v1 W0 V6 [ [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
net.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

4 c' F- n3 y" T7 z5 q& j- F* h/ c. u8 l( c( oan=sim(net,pn);                               %对BP网络进行仿真
  R( \6 c/ }% v' s- H1 L! f- \a=postmnmx(an,mint,maxt);                     %还原数据
6 u+ e# U) \8 v0 L9 Qx=2001:2010;
newk=a(1,;
plot(x,newk,'r-o',x,t,'b--+')
legend('网络输出值/万人','实际人口数/万人');
4 E5 w9 x# c- h/ @xlabel('年份');
: x! `3 n0 V8 a+ b3 Kylabel('人口数');
* |4 Z( a' t* T+ `4 I1 }, d' n* @8 ptitle('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]
7 _1 M  k! i$ ^4 C  |$ }pnew=pnew1
, g- f2 M' J, o  ]+ Spnewn=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
y=anew'
3 H- c. X# P0 P, E9 i$ i( z

/ e' O1 q2 S: i$ f  H1 l预测的结果怎么都一样呀？》？？求助

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