求助

422258511

p=[724.570000000000,739.774223126620,771.489090673942,804.563606600594,839.056060404793,875.027240514377,912.540541418428,951.662075391767,992.460789009143,1035.00858465455]
( `8 G; x+ U% i+ |; u' f+ 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

net=newff(minmax(pn),[9,1],{'tansig','purelin'},'traingdx'); %设置网络,建立相应的BP网络
1 A: J/ i, G7 T2 y9 x- s( wnet.trainParam.show=2000; % 训练网络
net.trainParam.lr=0.01;
: @9 b: g9 c6 X1 H4 Onet.trainParam.epochs=10000;
net.trainParam.goal=1e-5;
; w5 q$ w$ [+ k+ ]0 E[net,tr]=train(net ,pn,tn);                              %调用TRAINGDM算法训练BP网络
% D9 c6 w+ s4 Z) s
# z# |& `! e9 J  ~an=sim(net,pn);                               %对BP网络进行仿真
a=postmnmx(an,mint,maxt);                     %还原数据
( `6 c: f, p! r3 r( d6 xx=2001:2010;
  O4 F8 Q: M1 Z2 P; \; w2 q1 s: h4 Dnewk=a(1,;
7 G: @; N2 [! f: U' p4 z" Zplot(x,newk,'r-o',x,t,'b--+')
legend('网络输出值/万人','实际人口数/万人');
xlabel('年份');
6 L# t$ i2 y6 J+ P" `5 y& cylabel('人口数');
title('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]
5 x8 G  w9 a. \3 ~2 x% I1 ypnew=pnew1
pnewn=tramnmx(pnew,minp,maxp);
* ^+ ~) S  q/ L9 Aanewn=sim(net,pnewn);                               %对BP网络进行仿真
anew=postmnmx(anewn,mint,maxt);                     %还原数据
y=anew'


$ X: n$ p( [7 I- p4 b: y7 X5 S预测的结果怎么都一样呀？》？？求助

wssl103050