求助

422258511

p=[724.570000000000,739.774223126620,771.489090673942,804.563606600594,839.056060404793,875.027240514377,912.540541418428,951.662075391767,992.460789009143,1035.00858465455]
9 t" b1 y; R( A1 ^& @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

: j/ W' ~& S5 i4 @) fnet=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
% j9 K) K3 e! t" I0 ]+ `net.trainParam.lr=0.01;
net.trainParam.epochs=10000;
net.trainParam.goal=1e-5;
; o- a) o: G9 s5 \- G5 T[net,tr]=train(net ,pn,tn);                              %调用TRAINGDM算法训练BP网络
9 w; ?" r) K9 E. G2 D
an=sim(net,pn);                               %对BP网络进行仿真
a=postmnmx(an,mint,maxt);                     %还原数据
" ?8 d$ q1 \' e& L3 X' C. I: `& Jx=2001:2010;
' C( x0 l( G# a" Pnewk=a(1,;
# w8 g( K  n9 a* p2 d3 u* aplot(x,newk,'r-o',x,t,'b--+')
2 S# [* m2 c4 m4 v, \legend('网络输出值/万人','实际人口数/万人');
% f  z9 `$ Y+ o  r" Pxlabel('年份');
ylabel('人口数');
. W. ~* N; K( |! p  [- A- Ptitle('预测人口数对比表');

pnew1=[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
anew=postmnmx(anewn,mint,maxt);                     %还原数据
! D: \7 ?! T, q$ r, m+ C$ fy=anew'

( ^2 v6 E; x; X8 Q
, V/ r% O* c: i2 S& J预测的结果怎么都一样呀？》？？求助

wssl103050