求助

422258511

p=[724.570000000000,739.774223126620,771.489090673942,804.563606600594,839.056060404793,875.027240514377,912.540541418428,951.662075391767,992.460789009143,1035.00858465455]
4 Y/ N1 h9 W+ A% kt=[724.570000000000,746.620000000000,778.270000000000,800.800000000000,827.750000000000,871.100000000000,912.370000000000,954.280000000000,995.010000000000,1037.20000000000]
% R9 L# I6 ?# `* P% q. j& s [pn,minp,maxp,tn,mint,maxt]=premnmx(p,t);          %原始数据归一化

/ V$ M$ I  Z; g5 [, ]/ N3 Bnet=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;
0 V0 _! i  i% I  E* Knet.trainParam.epochs=10000;
: I9 Z, k+ l8 l- a. `! c4 knet.trainParam.goal=1e-5;
[net,tr]=train(net ,pn,tn);                              %调用TRAINGDM算法训练BP网络
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an=sim(net,pn);                               %对BP网络进行仿真
% U$ J. v0 ]; O. P  W. i/ {a=postmnmx(an,mint,maxt);                     %还原数据
x=2001:2010;
6 w1 E! v5 o* ~. w% p' dnewk=a(1,;
plot(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');
! z7 |1 _# a  f7 iylabel('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]
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
3 y9 d& p1 ?3 O7 W5 Cy=anew'

* q# S% ?$ c6 I: q. g( m; A
预测的结果怎么都一样呀？》？？求助

wssl103050