求助

422258511

p=[724.570000000000,739.774223126620,771.489090673942,804.563606600594,839.056060404793,875.027240514377,912.540541418428,951.662075391767,992.460789009143,1035.00858465455]
0 R2 v( \& ?# Z, _% t. Ht=[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
. p6 G2 P* [) @+ V" O5 `' }
- l5 L# u/ h: @& f2 inet=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 M) r/ R- i* inet.trainParam.goal=1e-5;
[net,tr]=train(net ,pn,tn);                              %调用TRAINGDM算法训练BP网络

8 R0 a4 U) V& W$ D3 L5 [an=sim(net,pn);                               %对BP网络进行仿真
7 v0 c  M0 Y" |: p' ^a=postmnmx(an,mint,maxt);                     %还原数据
1 r  D& z) o% h- z8 L1 Tx=2001:2010;
+ P" W' r) k; F4 Xnewk=a(1,;
plot(x,newk,'r-o',x,t,'b--+')
1 L* r& ^7 v  F/ `4 [7 elegend('网络输出值/万人','实际人口数/万人');
xlabel('年份');
: a9 X$ y  G0 `7 j0 aylabel('人口数');
title('预测人口数对比表');
0 w, F. [, Z6 |* U
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);
# Q/ V3 M! D: Z% @; ianewn=sim(net,pnewn);                               %对BP网络进行仿真
3 r2 l! E$ h8 C6 z" o1 Janew=postmnmx(anewn,mint,maxt);                     %还原数据
y=anew'
- c  D* g# G# F3 ?  T
7 @7 b% U  _$ o  N7 P* d& f' J
预测的结果怎么都一样呀？》？？求助

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