求助

422258511

p=[724.570000000000,739.774223126620,771.489090673942,804.563606600594,839.056060404793,875.027240514377,912.540541418428,951.662075391767,992.460789009143,1035.00858465455]
: i; C; I! E# Y, o) v4 g8 At=[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
5 D. V1 k) s% ~$ r
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
net.trainParam.lr=0.01;
( q4 z7 t3 i7 ]net.trainParam.epochs=10000;
9 M0 o- }$ \% e, ]) s6 L' E+ Inet.trainParam.goal=1e-5;
7 B9 b& n& S9 N* Y: |. z, L[net,tr]=train(net ,pn,tn);                              %调用TRAINGDM算法训练BP网络
! G8 _: b* \* Q2 B' p% f* |! _9 g
0 ?6 h9 S+ l# G5 Dan=sim(net,pn);                               %对BP网络进行仿真
a=postmnmx(an,mint,maxt);                     %还原数据
x=2001:2010;
newk=a(1,;
/ \9 u3 e3 w5 @3 oplot(x,newk,'r-o',x,t,'b--+')
+ d! q( p2 @6 T0 N) Ulegend('网络输出值/万人','实际人口数/万人');
xlabel('年份');
ylabel('人口数');
title('预测人口数对比表');

% ~" M6 d) ]9 U% vpnew1=[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);
anewn=sim(net,pnewn);                               %对BP网络进行仿真
7 H+ D* u* Y) G+ i3 Sanew=postmnmx(anewn,mint,maxt);                     %还原数据
8 o% z5 ?2 l  |4 p9 `y=anew'

# ^7 K6 p0 V/ Q4 L3 q
+ e, W! m" B# ~* w预测的结果怎么都一样呀？》？？求助

wssl103050