求助

422258511

p=[724.570000000000,739.774223126620,771.489090673942,804.563606600594,839.056060404793,875.027240514377,912.540541418428,951.662075391767,992.460789009143,1035.00858465455]
; h3 r8 h5 u6 D+ y8 yt=[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

6 W/ h* p. C* d/ p& }' y( Enet=newff(minmax(pn),[9,1],{'tansig','purelin'},'traingdx'); %设置网络,建立相应的BP网络
/ _- S5 l( ~) U$ |( `. T; vnet.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
2 v; L  V$ K: y( \+ z8 m( k! }
, ?' \% Q) p0 s( \3 Z% }an=sim(net,pn);                               %对BP网络进行仿真
+ d% ?# W! _# ?7 B+ D( D7 w8 y$ X2 _a=postmnmx(an,mint,maxt);                     %还原数据
4 L6 T6 X2 G$ H$ I8 {x=2001:2010;
newk=a(1,;
* H. {1 j1 `6 }; H' ^. M$ V: xplot(x,newk,'r-o',x,t,'b--+')
" f7 R+ M4 p: a2 j" Xlegend('网络输出值/万人','实际人口数/万人');
0 @4 \( L1 [' f( }, M; \. I/ Txlabel('年份');
ylabel('人口数');
title('预测人口数对比表');

( l1 p- V( Y+ D, M( f1 Wpnew1=[1079.38044723977,1125.65457635540,1173.91252408743,1224.23933874207,1276.72371473226,1331.45814888992,1388.53910347951,1448.06717620014,1510.14727747579,1574.88881534617]
pnew=pnew1
- {6 R. H! e: ?- \7 Z* zpnewn=tramnmx(pnew,minp,maxp);
anewn=sim(net,pnewn);                               %对BP网络进行仿真
' J5 L$ H* E% z) Panew=postmnmx(anewn,mint,maxt);                     %还原数据
% D7 a$ r' Q& s7 B" Yy=anew'
$ u0 N# h3 j( ?8 ~1 _% I( i
* A$ Q! x% F& I% D  j- Z5 _7 v
: t' d, S/ V4 G* @, c% n预测的结果怎么都一样呀？》？？求助

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