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]
[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
6 s$ k. c" @+ unet.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
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an=sim(net,pn);                               %对BP网络进行仿真
a=postmnmx(an,mint,maxt);                     %还原数据
x=2001:2010;
" h! U7 D) I% f9 X: gnewk=a(1,;
, C7 L# X, v  y6 H' dplot(x,newk,'r-o',x,t,'b--+')
legend('网络输出值/万人','实际人口数/万人');
, z1 X7 t4 Y( _( cxlabel('年份');
ylabel('人口数');
3 H% v7 A" C2 atitle('预测人口数对比表');
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( U+ _/ O7 R/ T% Wpnew1=[1079.38044723977,1125.65457635540,1173.91252408743,1224.23933874207,1276.72371473226,1331.45814888992,1388.53910347951,1448.06717620014,1510.14727747579,1574.88881534617]
pnew=pnew1
' G+ [6 o2 X1 W6 t% l. Zpnewn=tramnmx(pnew,minp,maxp);
anewn=sim(net,pnewn);                               %对BP网络进行仿真
/ u: }! i( N1 y( I  z* Nanew=postmnmx(anewn,mint,maxt);                     %还原数据
8 o# L: W& W( q) w2 _! gy=anew'
. }$ {, R' \0 Q! d/ _- s
! K6 a: A, ^# Z' ]6 o9 [
预测的结果怎么都一样呀？》？？求助

wssl103050