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升级   79.5% TA的每日心情 | 奋斗 2016-1-29 12:24 |
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签到天数: 81 天 [LV.6]常住居民II
- 自我介绍
- 数学建模准备中...
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gancm 发表于 2014-7-19 12:30 ![]()
: w7 z: z& i+ j看了图我感觉是网络输出后面那几个值太大了,前面基本都是一条水平线了,具体哪里还看不出问题。你把修改的 ... 0 T5 n$ q$ c/ a3 O( O# ~
因为版本更新,Matlab中的Newff命令用法有所改变,原命令为:
3 T/ [0 B' p- x: |% N$ Q) nnet=newff(dx,[3,7,2]{'tansig','tansig','purelin'},'traingdx');5 ^9 \$ m$ g% Y3 c" g
我修改为:
1 Q9 b+ J& j, B7 _net=newff(p,t,[3,7,2],{'tansig','tansig','purelin'},'traingdx');2 D o4 ?4 N2 p+ N6 a1 T
然后有些命令被其他命令替代了,其中有premnmx,postmnmx,tramnmx命令好像被替换了,使用了一个强大的命令mapminmax。原命令为:( K: E# d& M$ ^2 z: i
[pn,minp,maxp,tn,mint,maxt]=premnmx(p,t);
- X, S6 u" x p. Z) g2 F0 q4 Y8 {a=postmnmx(an,mint,maxt);
' R: l7 \5 z! v% h7 u3 S: V. Ipnewn=tramnmx(pnew,minp,maxp);
( l8 Z# ?2 G1 i5 J" fanew=postmnmx(anewn,mint,maxt): m& N1 i# S" i" m) H" I0 P
我修改为:
3 z7 Z) R: F2 h) @# R6 Z5 ^& m/ |[pn,ps1]=mapminmax(p);[tn,ps2]=mapminmax(t);
1 a: F; G1 ] Ea=mapminmax('reverse',an,ps2);7 {+ O3 ]7 V) r% T6 T" ]8 }0 p6 ?
pnewn=mapminmax('apply',pnew,ps1);5 I3 a8 t% N3 k& a0 k3 H! M/ y
anew=mapminmax('reverse',anewn,ps2)
$ F: | w# ?/ ^( n4 F$ l+ @
& R: \1 }4 v& y- r) L% g原程序为:' d, e. e, Q' N X7 Y
%原始数据输入' J1 _& g# m' J$ Q" V
clc0 k; {; o7 M& s* c2 g5 `
sqrs=[20.55,22.44,25.73,27.13,29.45,30.1,30.96,34.06,36.42,38.09,39.13,39.99,...' T6 S. \: y+ W% a
41.93,44.59,47.30,52.89,55.73,56.76,59.17,60.63];0 r# o1 g3 a- F5 a2 ~
sqjdcs=[0.6,0.75,0.85,0.90,1.05,1.35,1.45,1.60,1.70,1.85,2.15,2.20,2.25,2.35,...
' n4 b+ B6 ?( o6 G p+ ^1 ~ 2.5,2.6,2.7,2.85,2.95,3.10];
1 ` ~( y# h: T# ~8 H2 Qsqglmj=[0.09,0.11,0.11,0.14,0.20,0.23,0.23,0.32,0.32,0.34,0.36,0.36,0.38,0.49,...4 K. E) Z6 ?/ T" n, Q; d; h
0.56,0.59,0.59,0.67,0.69,0.79];
+ Z9 I- m& h/ ^) \glkyl=[5126,6217,7730,9145,10460,11387,12353,15750,18304,19836,21024,19490,20433,...
- Z. E2 R, B! m4 R3 x 22598,25107,33442,36836,40548,42927,43462];
0 E& O5 _0 M& k5 u3 `; Zglhyl=[1237,1379,1385,1399,1663,1714,1834,4322,8132,8936,11099,11203,10524,11115,...1 t n- h6 ~' E8 _$ F
13320,16762,18673,20724,20803,21804];0 ~8 p" D, M) ]1 m! N6 K; Q- c6 p
p=[sqrs;sqjdcs;sqglmj];
- c* J3 T3 e' n: b+ H* X; k6 ]: It=[glkyl;glhyl];
+ G- h2 j- W3 Q, { n+ x' ~' O! @5 ]/ o6 F5 l: X& j
%数据归一化
6 B$ n- a G# w5 Z[pn,minp,maxp,tn,mint,maxt]=premnmx(p,t);
# w! K& X* F! A; Wdx=[-1,1;-1,1;-1,1];
" H1 J' o6 v' z8 k% \: H d s; M. Y2 T' \" `; | t# |. f+ S
%BP网络训练
' B/ q8 h. ?* c2 K: G' b# knet=newff(dx,[3,7,2],{'tansig','tansig','purelin'},'traingdx');
& D# J, `0 S( ]4 y+ b9 I5 |net.trainParam.show=1000;9 p# ]: m8 V _' L$ v4 O
net.trainParam.Lr=0.05;1 O+ R" @4 M/ N
net.trainParam.epochs=50000;
% D9 b- D8 R* T/ }' H- J3 Jnet.trainParam.goal=0.65*10^(-3);
7 n& I, Q2 Q. ?' mnet=train(net,pn,tn);
\# U0 b$ E$ ^' W" r3 t. ]- ]
r& ?( s' k5 ^% n. Y7 H2 V%利用原数据对BP网络仿真. Z4 s! X3 w* E3 z: ~& [4 {; _
an=sim(net,pn);
; b, q J& N/ D6 \) |# ?a=postmnmx(an,mint,maxt);% {' p( Q- N7 p
: T# _/ P; F7 z9 ^: `
%仿真结果与原数据对比测试0 @0 ~: H, b/ S7 |: a7 ] m
x=1990:2009;
/ v% p+ i( b& m' V3 |* Dnewk=a(1, ;$ X+ [# k6 B+ o" r$ M" q$ C& U
newh=a(2, ;5 t/ z7 f! ]: C* `' P8 b$ t2 d
figure(2);
3 L8 g8 ]% l% ^0 S4 \" B- Psubplot(2,1,1);plot(x,newk,'r-o',x,glkyl,'b--+');
6 A) B; H& n9 m0 {6 v& C$ }$ x0 Ulegend('网络输出客运量','实际客运量');
1 T: a, U8 i$ H, z' Fxlabel('年份');ylabel('货运量、万人');# N+ @$ @, m: Q
title('运用工具箱客运量学习和测试对比图');( F) `) z* m5 g1 r) o5 X0 ?, V1 B* d- S
subplot(2,1,2);plot(x,newh,'r-o',x,glhyl,'b--+');# Z. M8 }) Q; H# O
legend('网络输出货运量','实际货运量');
) G7 k5 A0 j9 g4 M Dxlabel('年份');ylabel('货运量、万吨');
$ m/ `9 N7 N3 V# G2 O8 U6 ?title('运用工具箱货运量学习和测试对比图');
4 n# [6 U. ]$ t! S- R: S/ @% Y) ?6 d, p) S( b- o- V# p b9 p7 U
%新数据仿真
4 p5 i9 R! k$ g7 K& Xpnew=[73.39,75.55
# _2 r" m( Q. B 3.9635,4.0975
* p) {1 }- Y; T) Q 0.9880,1.0268];
( h& M! [- i5 n: C. V% s; Bpnewn=tramnmx(pnew,minp,maxp);' y& q4 o3 K* n% u4 r0 t( [
anewn=sim(net,pnewn);
- ~4 k, V4 x: l- F3 @' B) [: i& ?# I- `anew=postmnmx(anewn,mint,maxt)
. b L9 C" B2 T1 O+ }9 ]7 {' Z8 O. C) v6 i; H
修改后程序为:
2 I f% R' N$ R l! ?%原始数据输入! H2 z% \, J# p" q# o( u
clc
- t+ q7 k- ?* f! S7 M# Gsqrs=[20.55,22.44,25.73,27.13,29.45,30.1,30.96,34.06,36.42,38.09,39.13,39.99,...
3 t' C* E. F8 h1 i/ B 41.93,44.59,47.30,52.89,55.73,56.76,59.17,60.63];
' F5 V& W7 I. y0 u. U4 T" Dsqjdcs=[0.6,0.75,0.85,0.90,1.05,1.35,1.45,1.60,1.70,1.85,2.15,2.20,2.25,2.35,...$ H/ r: I( `* ]) |% Y B
2.5,2.6,2.7,2.85,2.95,3.10];' Z! K! |! T! g3 E
sqglmj=[0.09,0.11,0.11,0.14,0.20,0.23,0.23,0.32,0.32,0.34,0.36,0.36,0.38,0.49,...
+ n; c# y4 {- I* m 0.56,0.59,0.59,0.67,0.69,0.79];
: [9 i# u3 F6 gglkyl=[5126,6217,7730,9145,10460,11387,12353,15750,18304,19836,21024,19490,20433,...
4 i; M: ]3 Y {8 s( Z8 y" V) e3 b 22598,25107,33442,36836,40548,42927,43462];3 Z+ c: Z" ?! k; d- F% \" z* [
glhyl=[1237,1379,1385,1399,1663,1714,1834,4322,8132,8936,11099,11203,10524,11115,...3 L! S9 v3 r! n' Z" \/ v9 B
13320,16762,18673,20724,20803,21804];
3 K: e4 r$ |9 Mp=[sqrs;sqjdcs;sqglmj];
3 s# _1 e2 e: g* I- `9 Vt=[glkyl;glhyl];! B$ D$ u( O) h0 }7 A$ u% N8 V, t
) S; p9 H' s/ S* h
%数据归一化
: d6 r; r4 G+ P+ t, C. {9 ~* s[pn,ps1]=mapminmax(p);
! `3 x; L; A' h4 \6 Z# `[tn,ps2]=mapminmax(t);
: q* {2 F1 u( x3 V
% G0 ~& b1 c3 N; y8 ?- V5 @%BP网络训练" g% u4 p: l7 D; }7 ^# e+ ]
net=newff(p,t,[3,7,2],{'tansig','tansig','purelin'},'traingdx');# H% P- H7 h. f( J6 r
net.trainParam.show=1000;9 [# U. `2 n: A/ n, y9 s2 y! E
net.trainParam.Lr=0.05;
2 g1 ?) I" V9 ]( i+ ]net.trainParam.epochs=50000;4 j5 ? E5 {/ @/ N3 F
net.trainParam.goal=0.65*10^(-3);! U' C: \& H4 w1 t% g) Z
net=train(net,pn,tn);7 a- G' k/ N4 a
2 J9 A7 ]* _# v! M- u' V
%利用原数据对BP网络仿真1 J; t- s, K, `6 B
an=sim(net,pn);. E# d& ]7 n* Q
a=mapminmax('reverse',an,ps2);+ P# A x& Z: f4 c! T. Y3 a
+ [/ ], g Z2 X% z% F- k2 G, [%仿真结果与原数据对比测试1 l2 |& d9 c( M9 R) w% O' U
x=1990:2009;& S; d) o+ E; o: O, v: ~$ {
newk=a(1, ;; v) `& ?0 ]; R4 m, T7 w3 {3 q+ B
newh=a(2, ;
9 N! n; ^" j. U$ E' Q0 cfigure(2);
7 M) J r, M8 K6 |3 P& m1 K: d. |subplot(2,1,1);plot(x,newk,'r-o',x,glkyl,'b--+');
* q. z5 Y& {1 R+ ]$ a* e+ U1 D9 vlegend('网络输出客运量','实际客运量');* F: ^/ ~# L% O5 Q2 }
xlabel('年份');ylabel('货运量、万人');
; r0 E6 W1 T! ^' m# ftitle('运用工具箱客运量学习和测试对比图');: x) b1 K* H6 W R7 r
subplot(2,1,2);plot(x,newh,'r-o',x,glhyl,'b--+');1 ^4 O) t3 ~. U) _- t
legend('网络输出货运量','实际货运量');
7 M/ Q/ C& t0 G" }9 lxlabel('年份');ylabel('货运量、万吨');" J! _- Q5 O. ~6 C, f+ p+ g
title('运用工具箱货运量学习和测试对比图');
8 M# N- ~7 ?' Y1 r( D; f# _) ^% n! i2 g4 W
%新数据仿真
; H) f( j! ]+ }% Hpnew=[73.39,75.55
/ j' \: u2 n" }9 Q4 y7 M 3.9635,4.0975/ P1 d. Z1 ^" c% O9 Y
0.9880,1.0268];3 `+ _3 c S# a5 p# r& s% o9 |7 l
pnewn=mapminmax('apply',pnew,ps1);
* w1 q& a8 S/ Wanewn=sim(net,pnewn);5 K8 Y: d3 ]' e0 f) w
anew=mapminmax('reverse',anewn,ps2)
' X% Q$ L. Z: w% q! ^(修改的地方用颜色标记了)
. l& j/ @# _" p* B( K麻烦您帮忙指出其中的问题,万分感谢! |
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