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]
[pn,minp,maxp,tn,mint,maxt]=premnmx(p,t);          %原始数据归一化
2 D* V9 J; M: s. s" ^: `$ a9 B
net=newff(minmax(pn),[9,1],{'tansig','purelin'},'traingdx'); %设置网络,建立相应的BP网络
9 i5 A5 _+ o+ z" ]net.trainParam.show=2000; % 训练网络
" H! s. V6 U: x6 F2 L2 ?net.trainParam.lr=0.01;
( o/ g& M6 P7 ?! Z) S, vnet.trainParam.epochs=10000;
: w- U# P  f9 K- C0 x. r8 `; ^net.trainParam.goal=1e-5;
7 r5 t/ P, @: X1 h[net,tr]=train(net ,pn,tn);                              %调用TRAINGDM算法训练BP网络

an=sim(net,pn);                               %对BP网络进行仿真
a=postmnmx(an,mint,maxt);                     %还原数据
2 l2 S, @& r7 M5 L( @x=2001:2010;
newk=a(1,;
7 _8 }$ u' ^. z9 [( `4 Tplot(x,newk,'r-o',x,t,'b--+')
$ W8 f9 S1 j8 r+ Y/ j* blegend('网络输出值/万人','实际人口数/万人');
/ |& O: T4 r0 [$ R* b( o6 h, _! ~xlabel('年份');
0 L  m* l) J, H0 c5 @ylabel('人口数');
2 s8 y$ s" I. r  atitle('预测人口数对比表');
. F; v" M* K# R. E. ^
pnew1=[1079.38044723977,1125.65457635540,1173.91252408743,1224.23933874207,1276.72371473226,1331.45814888992,1388.53910347951,1448.06717620014,1510.14727747579,1574.88881534617]
  n+ w. s! o# H$ z8 w+ upnew=pnew1
% D+ d1 w- n: r+ Opnewn=tramnmx(pnew,minp,maxp);
4 v0 T/ Q. X& G6 u$ Z* canewn=sim(net,pnewn);                               %对BP网络进行仿真
6 l+ h: D; \- y* C. @" Nanew=postmnmx(anewn,mint,maxt);                     %还原数据
y=anew'


预测的结果怎么都一样呀？》？？求助

wssl103050