求助

422258511

p=[724.570000000000,739.774223126620,771.489090673942,804.563606600594,839.056060404793,875.027240514377,912.540541418428,951.662075391767,992.460789009143,1035.00858465455]
1 C  M8 {, m* Z# X6 x5 {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
9 ?: C0 U/ z" n* d4 xnet.trainParam.show=2000; % 训练网络
net.trainParam.lr=0.01;
) |5 \) D9 b6 g) o; h9 X8 Bnet.trainParam.epochs=10000;
- l( k! o2 o% H3 v( a0 |0 nnet.trainParam.goal=1e-5;
[net,tr]=train(net ,pn,tn);                              %调用TRAINGDM算法训练BP网络

an=sim(net,pn);                               %对BP网络进行仿真
a=postmnmx(an,mint,maxt);                     %还原数据
2 x" V" C# j" u4 t3 Q5 Y& G$ I8 yx=2001:2010;
newk=a(1,;
4 p0 r2 q5 |; N5 X; D6 F% xplot(x,newk,'r-o',x,t,'b--+')
- d3 `* z; l) I3 Blegend('网络输出值/万人','实际人口数/万人');
xlabel('年份');
ylabel('人口数');
$ I: H: S; y' M* V" dtitle('预测人口数对比表');

4 N' S' a" \0 {" _+ wpnew1=[1079.38044723977,1125.65457635540,1173.91252408743,1224.23933874207,1276.72371473226,1331.45814888992,1388.53910347951,1448.06717620014,1510.14727747579,1574.88881534617]
% _- Y( t) u! F; y, hpnew=pnew1
$ o0 C  T& J( spnewn=tramnmx(pnew,minp,maxp);
# \" |; V% E6 d1 Y% r% \anewn=sim(net,pnewn);                               %对BP网络进行仿真
anew=postmnmx(anewn,mint,maxt);                     %还原数据
% ~. R% @5 b+ B; s1 b4 r0 Oy=anew'

, W0 w$ W- z4 x
预测的结果怎么都一样呀？》？？求助

wssl103050