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]
( L% w5 {, ]% G% H' A* j [pn,minp,maxp,tn,mint,maxt]=premnmx(p,t);          %原始数据归一化
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1 N$ M+ v1 t( c( {net=newff(minmax(pn),[9,1],{'tansig','purelin'},'traingdx'); %设置网络,建立相应的BP网络
' ?* R1 @2 i% b% d8 c9 o, W) A; `net.trainParam.show=2000; % 训练网络
$ C) C$ E% J9 r" s/ f' c6 f/ }net.trainParam.lr=0.01;
net.trainParam.epochs=10000;
# O% n4 _8 N1 ?! rnet.trainParam.goal=1e-5;
0 n: k/ n4 G. ]$ i2 y[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
% L- N7 A1 e0 f1 J  {, Ha=postmnmx(an,mint,maxt);                     %还原数据
x=2001:2010;
2 N/ l' U; B( c- nnewk=a(1,;
/ U4 b! e, M9 @2 q# h) }5 _plot(x,newk,'r-o',x,t,'b--+')
( p$ H9 K, X  J* x8 a% \legend('网络输出值/万人','实际人口数/万人');
% ?8 a' [" c" K. ]! ]xlabel('年份');
8 C5 Y$ _, k7 _3 R( c% Hylabel('人口数');
title('预测人口数对比表');
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pnew1=[1079.38044723977,1125.65457635540,1173.91252408743,1224.23933874207,1276.72371473226,1331.45814888992,1388.53910347951,1448.06717620014,1510.14727747579,1574.88881534617]
pnew=pnew1
, ?# T) A; r$ |9 c( L) P* Hpnewn=tramnmx(pnew,minp,maxp);
8 t! ^6 I" s8 hanewn=sim(net,pnewn);                               %对BP网络进行仿真
anew=postmnmx(anewn,mint,maxt);                     %还原数据
/ H9 g1 Q0 P0 m  uy=anew'
( W1 U. m# f7 w( [( k7 g4 C
8 w) Y2 ~4 E( z
" A! A" ~# ]" L* \预测的结果怎么都一样呀？》？？求助

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