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]
; O2 z7 F8 M! J5 R [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
4 K3 H0 U6 W6 L, o1 G6 xnet.trainParam.show=2000; % 训练网络
net.trainParam.lr=0.01;
net.trainParam.epochs=10000;
net.trainParam.goal=1e-5;
( Z* L' P$ ^/ k8 X) g[net,tr]=train(net ,pn,tn);                              %调用TRAINGDM算法训练BP网络
7 I1 T, ~- e& p) ]
an=sim(net,pn);                               %对BP网络进行仿真
a=postmnmx(an,mint,maxt);                     %还原数据
: c% ]' }, q  V) P- [; `+ ux=2001:2010;
2 B* q) _' `- b, m$ Bnewk=a(1,;
plot(x,newk,'r-o',x,t,'b--+')
1 y7 j7 `, K% j2 V& G- m7 \legend('网络输出值/万人','实际人口数/万人');
9 u  L) t; s% w) S- yxlabel('年份');
9 _/ Q" Q, F5 y9 ]4 }" Z% s. a$ Tylabel('人口数');
title('预测人口数对比表');

* @' L' k0 P" E; p3 e$ kpnew1=[1079.38044723977,1125.65457635540,1173.91252408743,1224.23933874207,1276.72371473226,1331.45814888992,1388.53910347951,1448.06717620014,1510.14727747579,1574.88881534617]
. w6 @2 G1 E  ^4 m4 R4 ypnew=pnew1
pnewn=tramnmx(pnew,minp,maxp);
anewn=sim(net,pnewn);                               %对BP网络进行仿真
% \3 u$ H+ q% _3 J5 J+ f8 kanew=postmnmx(anewn,mint,maxt);                     %还原数据
' o4 x. y+ `( xy=anew'
: ?% z& h" M$ g1 }% L0 G1 U

6 V$ F& I6 K# J7 Z9 O预测的结果怎么都一样呀？》？？求助

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