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标题: BP神经网络程序问题求助 [打印本页]
作者: T-Eric    时间: 2014-7-18 21:13
标题: BP神经网络程序问题求助
这是我从书上打下来的代码，因为书的运行软件版本比较低，我的是Malab2013a的版本，所以我修改了部分程序，但运行出来有问题。请哪位高手帮忙指教和修正一下。谢谢！！
0 F* }: f0 j1 U" ~' @& X: S: ~
3 T* o5 Z( r& _$ N+ V%原始数据输入
7 b* `5 M) O$ i5 ^, Iclc
* G. j% W4 S1 E) osqrs=[20.55,22.44,25.73,27.13,29.45,30.1,30.96,34.06,36.42,38.09,39.13,39.99,...
+ ?$ m( ]; e2 P    41.93,44.59,47.30,52.89,55.73,56.76,59.17,60.63];
3 O7 @# U+ C9 N4 v, l7 R6 x; hsqjdcs=[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,...8 c" m5 `" L$ p7 ~! F+ \
    2.5,2.6,2.7,2.85,2.95,3.10];
1 {; W5 t) C% L- e2 d% _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,...
1 F7 @0 u* {/ w* u9 t3 `4 U    0.56,0.59,0.59,0.67,0.69,0.79];
- h' o' h0 H9 w3 s0 Bglkyl=[5126,6217,7730,9145,10460,11387,12353,15750,18304,19836,21024,19490,20433,...' B, ~3 H& Q( K2 ^& _" \5 \
    22598,25107,33442,36836,40548,42927,43462];
+ b, K, ^! l0 R( d  [+ uglhyl=[1237,1379,1385,1399,1663,1714,1834,4322,8132,8936,11099,11203,10524,11115,...
, U/ t. R, r7 T, B+ ?    13320,16762,18673,20724,20803,21804];3 S; }+ X. g7 X( v( Z; z8 d
p=[sqrs;sqjdcs;sqglmj];
; e8 |, f# g( ]' Kt=[glkyl;glhyl];
& S+ m; M( U/ `2 r4 @7 n7 k/ e. y' ]' i+ L
%数据归一化4 o% A& f/ g2 ]/ y# D- B
[pn,ps1]=mapminmax(p);
/ r7 p/ d' O7 n3 W8 V! R) I[tn,ps2]=mapminmax(t);
5 ]5 \6 a$ L  w1 ndx=[-1,1;-1,1;-1,1];
* d% m2 p5 q& C. B; d
" M# {) _5 b8 B%BP网络训练8 U1 K+ Z% Q8 }2 s1 o$ p) ]$ L
net=newff(p,t,[3,7,2],{'tansig','tansig','purelin'},'traingdx');  `7 T+ p: S, K) J* V0 n6 z  g
net.trainParam.show=1000;" [4 y9 _. D% U8 U- }4 d/ _5 [- t  y8 g
net.trainParam.Lr=0.05;
. A$ o! z$ x, vnet.trainParam.epochs=50000;$ S* u  x/ w- F; z
net.trainParam.goal=0.65*10^(-3);
4 \7 W4 n" e* k9 D: q5 F. S! lnet=train(net,pn,tn);
4 {1 O+ P4 n6 R0 n4 _( v
. w3 W5 h$ C5 U' c%利用原数据对BP网络仿真5 Q8 M! b/ D# f
an=sim(net,pn);3 a" {8 k6 k5 v- C& j, R, t
a=mapminmax('reverse',an,ps2);
! u& S$ H( I# |& D) ?% }! W' w+ _3 W% x- a" V) V; f7 |
%仿真结果与原数据对比测试
3 X- ]+ F7 \% _  Px=1990:2009;8 C% P/ h" r+ ]4 i& c& _$ z
newk=a(1,:);4 h; s0 v1 z: D- K: P2 a' I1 I
newh=a(2,:);
1 |  W9 e6 a7 _figure(2);
% V) O, H( y+ T9 Qsubplot(2,1,1);plot(x,newk,'r-o',x,glkyl,'b--+');
+ j$ k7 `+ Z5 a- M6 vlegend('网络输出客运量','实际客运量');" q; r! g" D$ y. O) {" d
xlabel('年份');ylabel('货运量、万人');( H) f; i$ t* ~7 Z
title('运用工具箱客运量学习和测试对比图');
& A: k5 ~+ H$ Z4 `. m. qsubplot(2,1,2);plot(x,newh,'r-o',x,glhyl,'b--+');8 Z3 f  F8 Q$ [  O2 l' m; F
legend('网络输出货运量','实际货运量');
9 T3 n- ?* b0 K: _xlabel('年份');ylabel('货运量、万吨');' A# o* u* a0 R& @
title('运用工具箱货运量学习和测试对比图');
) o' l/ h( W9 n; G0 Z6 u  X+ n
; a* I4 T6 v0 e, e- }%新数据仿真2 L: N; }/ {* U. }
pnew=[73.39,75.55% I) a5 i2 a2 W: i9 d& P' o5 D
    3.9635,4.0975  ?; m5 L( ]) I1 m! c$ P2 y% c
    0.9880,1.0268];3 q& }0 {) i/ A. q6 Z; Q
pnewn=mapminmax('apply',pnew,ps1);
8 U/ T2 h4 l! Q% D6 c+ p- w7 Zanewn=sim(net,pnewn);& F" S' O- J9 T! r+ C
anew=mapminmax('reverse',anewn,ps2)& X* b/ }% m4 _+ b, V3 B

! N4 `$ v, |( J. j* [+ p9 v5 G

`VCWMZD9E$D~NHRR~AT9B4D.jpg (120.2 KB, 下载次数: 555)

`VCWMZD9E$D~NHRR~AT9B4D.jpg

作者: gancm    时间: 2014-7-19 12:30
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。你把修改的地方说一下看看
作者: 529084167    时间: 2014-7-21 09:35
作者: T-Eric    时间: 2014-7-21 11:58
gancm 发表于 2014-7-19 12:30   L9 K1 K7 o3 i
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 ...
5 g/ q& m9 R; y9 T6 ?2 y
因为版本更新，Matlab中的Newff命令用法有所改变，原命令为：3 z: Y9 B  m9 c: d- R# R3 P
net=newff(dx,[3,7,2]{'tansig','tansig','purelin'},'traingdx');
- ]* K+ m* D& ?0 t7 y- f7 Q我修改为：) |* R* r0 N) ^' X
net=newff(p,t,[3,7,2],{'tansig','tansig','purelin'},'traingdx');
: M' Y+ o8 P( x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：
9 r; ~2 e' s3 C' R) I/ i5 ?[pn,minp,maxp,tn,mint,maxt]=premnmx(p,t);
$ `7 C8 k! D& M, |& t& ]! `a=postmnmx(an,mint,maxt);0 q' G+ E2 j, W4 ~4 \8 J8 X2 p# g
pnewn=tramnmx(pnew,minp,maxp);( u) T- K8 x2 n! u: {2 n/ d
anew=postmnmx(anewn,mint,maxt)# z7 l6 U7 ?) W- o) L
我修改为：7 G, w" |2 x) d4 Y4 p# |2 R- s% B
[pn,ps1]=mapminmax(p);[tn,ps2]=mapminmax(t);
" J2 c2 M, }& v3 Q0 U% v! K. P& ^: ma=mapminmax('reverse',an,ps2);
, j; L! b" ~& e/ G8 P1 j$ spnewn=mapminmax('apply',pnew,ps1);
. ^  l% \: b* B- e" p5 ?' D( Canew=mapminmax('reverse',anewn,ps2)- t* B0 D  k. z/ N, q* `- a- _

' u& ~4 ?* U* Y9 S2 {; V% s3 v8 {原程序为：
: }4 ^+ F3 B$ B) W# S" ?4 w%原始数据输入
: `$ Y4 X+ V" N2 C3 `  T8 b3 eclc# T8 ]. \- S; W& J8 L
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,...% d/ t! @* H' O0 @. _
    41.93,44.59,47.30,52.89,55.73,56.76,59.17,60.63];
& g* y# m/ U( h6 I4 @" h. ^- w. Csqjdcs=[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,...
; U" g6 e/ Q' k# w$ Z7 ~; Y/ m% y    2.5,2.6,2.7,2.85,2.95,3.10];
4 \/ ~! ]$ ?; r) {1 osqglmj=[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,...' Q0 u  f) u' E
    0.56,0.59,0.59,0.67,0.69,0.79];
2 q* w& R9 @" [8 T1 d2 ]9 aglkyl=[5126,6217,7730,9145,10460,11387,12353,15750,18304,19836,21024,19490,20433,...# g+ }: _1 C# }; z
    22598,25107,33442,36836,40548,42927,43462];
' |7 r: H) P  [+ _glhyl=[1237,1379,1385,1399,1663,1714,1834,4322,8132,8936,11099,11203,10524,11115,...) N) O( r+ Z  T: {5 {$ R& k& v% F) b
    13320,16762,18673,20724,20803,21804];
1 ~3 ^* x' L1 L: C3 pp=[sqrs;sqjdcs;sqglmj];' s8 R1 S+ ^5 x; ^* e1 P: x. x
t=[glkyl;glhyl];6 U/ ^4 f9 c5 ?7 Y' o3 q3 e+ C3 v

% w: [& }4 C" O* J7 q% u%数据归一化
* i6 D9 p. u: d' S! T; h[pn,minp,maxp,tn,mint,maxt]=premnmx(p,t);* C& H2 S2 F! t% u
dx=[-1,1;-1,1;-1,1];1 o7 ]' f4 r% L, @% J1 Z

: s, i: y; e. }% P' o0 _%BP网络训练
9 G' K+ C& Z6 p' hnet=newff(dx,[3,7,2],{'tansig','tansig','purelin'},'traingdx');
# t8 G( [& J, G1 g! i: n0 }* b" Lnet.trainParam.show=1000;; ]7 h" f, o9 F, A8 y* o
net.trainParam.Lr=0.05;
- B# H$ x' p0 {9 m0 Dnet.trainParam.epochs=50000;
9 `4 d8 x  \4 \% H1 _" [net.trainParam.goal=0.65*10^(-3);
) ?. u" E& O* _3 f0 W  Hnet=train(net,pn,tn);
( ?6 D: s; y2 V/ T1 b1 l, V5 @5 ^4 |+ p
%利用原数据对BP网络仿真# h: h3 g' ~8 y9 r; r2 g% p9 J: X4 l
an=sim(net,pn);
* N3 x4 g. E( d4 F1 ma=postmnmx(an,mint,maxt);
* j0 p+ \% U- B& S
% U* O) A; d# p) B) K%仿真结果与原数据对比测试
4 I! ~6 o. c4 b" @6 m5 C# K" b' W! vx=1990:2009;! g+ N! `/ r3 _0 X2 o0 K
newk=a(1,;
6 q0 U0 d1 p8 F$ ], t2 [: _' Tnewh=a(2,;
( b( m# t8 b5 ]6 H! v! Pfigure(2);6 U" L9 F8 ^) E. y, T
subplot(2,1,1);plot(x,newk,'r-o',x,glkyl,'b--+');6 a% w4 h7 }9 T3 t0 O6 T
legend('网络输出客运量','实际客运量');
! p$ E( Z* v8 \( k. Q! `xlabel('年份');ylabel('货运量、万人');
1 K7 K7 r# K% ktitle('运用工具箱客运量学习和测试对比图');3 ~9 ]+ E8 D6 I) X
subplot(2,1,2);plot(x,newh,'r-o',x,glhyl,'b--+');1 `$ y2 J! L) A( h, t1 C- C
legend('网络输出货运量','实际货运量');& K" K; T7 q2 ?) J6 `) n5 a( y
xlabel('年份');ylabel('货运量、万吨');
& k; o( h1 {5 g# J6 `# @, Rtitle('运用工具箱货运量学习和测试对比图');
3 M! S9 {4 t+ s( B/ i
, h0 W4 e# A6 [& r. h6 d%新数据仿真: i7 [" O8 [9 `8 i% g9 g7 \
pnew=[73.39,75.55
2 H% n( {) D# U# z. X    3.9635,4.09753 |# i/ T; z6 b0 k7 W' k" Z
    0.9880,1.0268];! O( J9 ?4 r) t" G) s
pnewn=tramnmx(pnew,minp,maxp);
, |* _7 @$ ^+ {- sanewn=sim(net,pnewn);
5 O: O6 o( _; t/ V4 canew=postmnmx(anewn,mint,maxt)+ t9 O6 Q. Q" M6 w1 C( B

, [* C1 ^" L& I; c修改后程序为：
/ R' U+ m, X8 R7 N3 B%原始数据输入  z; U1 Q9 g7 p2 x
clc
& Q0 h7 D1 I$ w) f  W  ^7 v( usqrs=[20.55,22.44,25.73,27.13,29.45,30.1,30.96,34.06,36.42,38.09,39.13,39.99,...% r# E' V5 K: `( M; g3 i
    41.93,44.59,47.30,52.89,55.73,56.76,59.17,60.63];
, E2 {( V9 l( M+ F& }/ F4 asqjdcs=[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,...6 T+ s( ~# X2 I: p0 ?1 P' X
    2.5,2.6,2.7,2.85,2.95,3.10];$ w3 Y4 s- b: ^3 t  M2 ]
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,...
; Y. K* d+ [% k7 ^& h) q( O2 C" z    0.56,0.59,0.59,0.67,0.69,0.79];
. K: v- i$ X" g8 ]6 `2 ~) E; mglkyl=[5126,6217,7730,9145,10460,11387,12353,15750,18304,19836,21024,19490,20433,...8 s; s. C$ ]3 l- ?
    22598,25107,33442,36836,40548,42927,43462];% r5 o5 F7 q  `# ?- ~- _7 V+ Z2 [
glhyl=[1237,1379,1385,1399,1663,1714,1834,4322,8132,8936,11099,11203,10524,11115,...
7 b7 N3 I! g9 \$ @1 _+ D    13320,16762,18673,20724,20803,21804];
9 {$ v5 A$ O9 Sp=[sqrs;sqjdcs;sqglmj];/ \+ ~6 h) z- z0 v4 A
t=[glkyl;glhyl];
" p: N& @1 {% o/ A/ p7 E! y
4 S6 R$ w( ?4 L1 D* }6 z%数据归一化6 ?) N! W8 n  L+ E
[pn,ps1]=mapminmax(p);/ N9 T% n( v% X' }7 Z
[tn,ps2]=mapminmax(t);
' B# m6 C! N; i1 Q1 v$ K; ?% X; B2 [  b  S
%BP网络训练- P$ o! m6 o* W7 O
net=newff(p,t,[3,7,2],{'tansig','tansig','purelin'},'traingdx');# W8 l, a; A! B
net.trainParam.show=1000;
, e: Y& f- C- t9 ~; ^net.trainParam.Lr=0.05;
% `# _# O! ^2 ^& o! a# S; t( `net.trainParam.epochs=50000;
9 x$ B0 s* R7 {% Cnet.trainParam.goal=0.65*10^(-3);3 M7 Q+ M1 O5 x7 V+ n1 ]; L8 Z+ h
net=train(net,pn,tn);; \8 ]/ y5 g# S2 t
* T4 X& p& r5 P8 N
%利用原数据对BP网络仿真8 h3 W0 s0 x1 d: U9 K
an=sim(net,pn);% O  V* z* }4 \% u  L
a=mapminmax('reverse',an,ps2);3 k8 h  K2 x' {8 X# i& A- ~- ~

$ A. N9 m. ]+ x) `%仿真结果与原数据对比测试2 I# v6 N. }6 ], v9 Z3 G9 [- f
x=1990:2009;
' Z9 ^2 |1 E% f- bnewk=a(1,;
$ T; V8 {8 l/ j' Q# Onewh=a(2,;6 C; z9 d. c9 i4 V- {+ Y
figure(2);
: K& T! ^7 t; m/ zsubplot(2,1,1);plot(x,newk,'r-o',x,glkyl,'b--+');4 Y3 g+ e5 ^% P2 e5 [
legend('网络输出客运量','实际客运量');7 w# v% M- ]  ]
xlabel('年份');ylabel('货运量、万人');4 I7 X" c- t0 L: L% b% N
title('运用工具箱客运量学习和测试对比图');0 R/ k4 }  F3 l. z* g
subplot(2,1,2);plot(x,newh,'r-o',x,glhyl,'b--+');6 k" m: B) x. P7 B
legend('网络输出货运量','实际货运量');
1 e/ A6 C8 _! L7 _% q* V# rxlabel('年份');ylabel('货运量、万吨');
) A' U) ^. G7 ?title('运用工具箱货运量学习和测试对比图');
+ R+ U2 }; t: m& ~4 W& N% \0 b6 p* y
%新数据仿真
5 J! f) n; S+ l/ U6 V& }pnew=[73.39,75.55% l! @) Q( R- a/ l: D
    3.9635,4.0975
5 N8 w, L$ k, [+ V. W    0.9880,1.0268];1 o: b# B6 \  ~/ C0 s2 [# i1 X
pnewn=mapminmax('apply',pnew,ps1);3 D6 v) W' _5 W% @
anewn=sim(net,pnewn);
8 j& f6 n4 Q1 p" J5 s; Xanew=mapminmax('reverse',anewn,ps2)' A. b: u- M3 L: c
（修改的地方用颜色标记了）
' k) i! Z& G7 @  q2 L/ R8 a麻烦您帮忙指出其中的问题，万分感谢！
作者: 且生    时间: 2014-7-21 18:05
求书名及页码……
作者: 且生    时间: 2014-7-21 18:20
  1. clc
    : n" u5 W. {& H: N+ d
  2. 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,...
    # P4 b* {( U6 T- B( F* l3 X
  3.     41.93,44.59,47.30,52.89,55.73,56.76,59.17,60.63];
    / p1 [3 D0 m2 n  z
  4. 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,...
    # a# B$ l) l; P7 I4 k6 ~3 [
  5.     2.5,2.6,2.7,2.85,2.95,3.10];  l7 v7 v( M7 F1 V, G: v+ e( a
  6. 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,...( B' O3 ^/ W. e6 c/ v
  7.     0.56,0.59,0.59,0.67,0.69,0.79];" U) i0 ?" O  \# ?
  8. glkyl=[5126,6217,7730,9145,10460,11387,12353,15750,18304,19836,21024,19490,20433,...
    - Z4 i2 N- ?' |) m' B, y! S( c* I
  9.      22598,25107,33442,36836,40548,42927,43462];; {' z. Q+ r5 i; v
  10. glhyl=[1237,1379,1385,1399,1663,1714,1834,4322,8132,8936,11099,11203,10524,11115,...
      f1 n& X- {  \; t, w: c
  11.      13320,16762,18673,20724,20803,21804];5 v7 c7 F% ?% Q3 |0 y" m+ [
  12. p=[sqrs;sqjdcs;sqglmj];9 W7 a8 @7 r' w. G: u
  13. t=[glkyl;glhyl];
    & o8 J7 Z7 v9 E1 F0 y1 q
  14. %数据归一化
    9 c) V( w4 V% r( t! s# @
  15. [pn,ps1]=mapminmax(p);7 @5 C7 _8 R! o% i7 Y
  16. [tn,ps2]=mapminmax(t);
    9 a% T0 B- J( @7 S) Q: M& N
  17. %dx=[-1,1;-1,1;-1,1];' m7 d( j8 M# F  d( U
  18. [color=Red] p0=minmax(pn);t0=minmax(tn);[/color]/ K  L& F) K7 K7 n9 O
  19. ! w/ a, G& G; k" H
  20. %BP网络训练3 i% m6 {1 |* Y: @! y3 G3 I4 _# d. l8 @
  21. [color=Red] net=newff(p0,t0,[3,7,2],{'tansig','tansig','purelin'},'traingdx'); [/color]
    ' c* g, y5 b; f! ?  d" M2 G5 d* L
  22. net.trainParam.show=1000;
    ( ?/ j+ ~4 X1 e* {
  23. net.trainParam.Lr=0.05;9 f  \) {- l* z5 r: s
  24. net.trainParam.epochs=50000;" n: g. `- o8 O0 s( G) D4 M
  25. [color=Red] net.trainParam.goal=0.65*10^(-5);[/color]
    + m; z( a6 A8 w( f3 V+ v! H
  26. net=train(net,pn,tn);4 N# L6 f4 N. {: v! k9 M
  27. ( [. ?" u# P: Q! {* R* Q
  28. %利用原数据对BP网络仿真
    5 D& J' i3 l, P4 C  g, \/ y+ M
  29. an=sim(net,pn);' I- z1 y" u. W
  30. a=mapminmax('reverse',an,ps2);4 S* S( r, X7 r

  31. $ V! S. f6 |8 v4 o; ~$ T
  32. %仿真结果与原数据对比测试
    7 N0 X8 Q/ y' J
  33. x=1990:2009;
    0 B0 T$ P2 J% A2 l* u! k
  34. newk=a(1,:);7 N3 B/ C4 s, ]2 T3 [0 b) C3 u
  35. newh=a(2,:);
    3 }) C& ?+ K- K/ J9 b, c5 b+ w
  36. figure(2);0 ?$ d4 ^8 d/ H& X+ i; s- n2 k+ Q
  37. subplot(2,1,1);plot(x,newk,'r-o',x,glkyl,'b--+');- ?: i: q: x* F  C
  38. legend('网络输出客运量','实际客运量');
    2 d, F  m7 w  R& L6 W
  39. xlabel('年份');ylabel('货运量、万人');, v: L/ @2 [% F, W6 r
  40. title('运用工具箱客运量学习和测试对比图');! N( R& W- e: l& t4 J
  41. subplot(2,1,2);plot(x,newh,'r-o',x,glhyl,'b--+');' }3 ]' h1 B. u' c, E
  42. legend('网络输出货运量','实际货运量');5 H& r: M, @! ^$ t1 i
  43. xlabel('年份');ylabel('货运量、万吨');8 h" T  Q5 u4 A7 f) z. u+ N- i$ D7 Q
  44. title('运用工具箱货运量学习和测试对比图');
    9 b1 F8 U; R. a5 w8 @
  45. 6 V3 d1 L1 R0 A6 u
  46. %新数据仿真0 r. _, e* w3 T
  47. pnew=[73.39,75.55
    3 S$ P8 u, b# s, e: S' r
  48.      3.9635,4.0975; n' V* u; q0 W' b& b
  49.      0.9880,1.0268];
    # [% A' I! n# [
  50. pnewn=mapminmax('apply',pnew,ps1);4 J. b# `) p) Q9 v+ L/ E8 [* @
  51. anewn=sim(net,pnewn);
    7 T. ]' j4 w9 y3 g
  52. anew=mapminmax('reverse',anewn,ps2)
复制代码
作者: 且生    时间: 2014-7-21 18:22
忽略我上面那个，改动的地方在18，21，25行……求批
  1. clc
    4 L# u5 f  j0 h. q
  2. 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,...
    , v7 v2 h  ?/ N. w" M2 Z; g
  3.     41.93,44.59,47.30,52.89,55.73,56.76,59.17,60.63];6 _) p; G* o  `
  4. 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,...' f3 @. J4 P  D  V2 F* y
  5.     2.5,2.6,2.7,2.85,2.95,3.10];+ p2 `! U4 O4 H2 i
  6. 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,.../ [4 X8 j$ c. ^! u& ]& I
  7.     0.56,0.59,0.59,0.67,0.69,0.79];
    ; U$ _" `4 y0 C; Q- U, B
  8. glkyl=[5126,6217,7730,9145,10460,11387,12353,15750,18304,19836,21024,19490,20433,...
    - P9 a7 ]- j" W# q2 r
  9.      22598,25107,33442,36836,40548,42927,43462];
    ( N* {' `4 f  ?+ h9 J
  10. glhyl=[1237,1379,1385,1399,1663,1714,1834,4322,8132,8936,11099,11203,10524,11115,...: w$ ~5 P; _9 V! ~# j% r
  11.      13320,16762,18673,20724,20803,21804];# H  K+ b+ E9 g; J* P' l& z' R1 J
  12. p=[sqrs;sqjdcs;sqglmj];! ~! _3 M7 F$ Y4 p
  13. t=[glkyl;glhyl];
    / `) i8 o! u7 Z' n- d: R3 `/ ^; c
  14. %数据归一化
    & R6 [( e6 U: D7 ]
  15. [pn,ps1]=mapminmax(p);7 U2 O8 W$ [0 M4 g* ^5 q
  16. [tn,ps2]=mapminmax(t);
    5 r5 F8 Y! S' U# @8 \5 {
  17. %dx=[-1,1;-1,1;-1,1];
    " [  c* z3 Y- {7 J& @5 D+ J+ y
  18. p0=minmax(pn);t0=minmax(tn);& \* g2 @# e+ i; y" u: E2 I' E6 t

  19. 9 ^! {5 k' M, W: H8 k
  20. %BP网络训练% d! L9 L- f+ ^+ y  T3 t  l) X
  21. net=newff(p0,t0,[3,7,2],{'tansig','tansig','purelin'},'traingdx');
    4 i% g* b4 e" G! }
  22. net.trainParam.show=1000;( K$ S# F: h/ ]+ g: N
  23. net.trainParam.Lr=0.05;
      e9 H) M! G$ B, N2 a. m( e
  24. net.trainParam.epochs=50000;% {) V3 `$ \: s7 E" P) e
  25. net.trainParam.goal=0.65*10^(-5);
    ! ~. E( }# a- `9 v4 l" j+ Q3 m6 m: G2 r
  26. net=train(net,pn,tn);
    $ F. |: ~" t8 y0 w+ w
  27. : L9 Q, }+ E, C' G
  28. %利用原数据对BP网络仿真
    : D1 T+ x. K0 V. R% ^
  29. an=sim(net,pn);
    ; m% c5 G' T" k2 j, l
  30. a=mapminmax('reverse',an,ps2);
    . p# i  {! l' `% ^
  31. , D8 A  h0 _& z
  32. %仿真结果与原数据对比测试 5 I' l8 _$ h; p! D
  33. x=1990:2009;
    ( o% g: a; A  w
  34. newk=a(1,:);
    ; G# f' ]0 s1 C/ {) d& f
  35. newh=a(2,:);0 N1 T; O8 G5 d
  36. figure(2);
    . `; L9 g, W, |3 l) B% p6 o# @6 I
  37. subplot(2,1,1);plot(x,newk,'r-o',x,glkyl,'b--+');
    # S5 o# i! |( G( U! k7 [3 G
  38. legend('网络输出客运量','实际客运量');
    " g/ U$ n, v  q
  39. xlabel('年份');ylabel('货运量、万人');
      v$ L. c' T8 i; V
  40. title('运用工具箱客运量学习和测试对比图');* m1 ]0 ~( R' N
  41. subplot(2,1,2);plot(x,newh,'r-o',x,glhyl,'b--+');2 ]7 }* s+ L- H, q
  42. legend('网络输出货运量','实际货运量');- e' S# R2 H. o1 u' a8 U
  43. xlabel('年份');ylabel('货运量、万吨');
    + Q' U" h  k/ @9 L* j
  44. title('运用工具箱货运量学习和测试对比图');- b, W/ }4 k- f, d
  45.   C) F- ]4 E' k2 j
  46. %新数据仿真
    : _& @% D$ \) O; p  @; u. \$ K
  47. pnew=[73.39,75.553 }( ~$ u/ _1 F1 {
  48.      3.9635,4.0975
    5 |% q, u/ o7 @0 h
  49.      0.9880,1.0268];
    7 S% C" G+ Z6 m3 y7 [# ~
  50. pnewn=mapminmax('apply',pnew,ps1);
    0 O! q. b( \& v: T4 s) k
  51. anewn=sim(net,pnewn);4 y( b- w+ M& W% }
  52. anew=mapminmax('reverse',anewn,ps2)
复制代码
作者: T-Eric    时间: 2014-7-22 21:14
且生 发表于 2014-7-21 18:22
6 G' }' g9 F1 u3 L9 f4 e' w/ x0 k. i忽略我上面那个，改动的地方在18，21，25行……求批
. q1 {+ V- b: C- _& j0 Y
确实改善了很多，很是感谢。但效果还是不太理想，而且为何只学习了几十次就停了呢？即使我修改了目标精度。

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p1.jpg

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作者: 且生    时间: 2014-7-22 23:35
  1. %BP网络训练
    1 X8 s) d. }7 `1 A- k" n! d
  2. net=newff(p0,t0,6,{'tansig'},'traingd');
    9 W  F# P' k+ s7 `) M
  3. net.trainParam.show=1000;' D; P9 k, S- V# Z. i
  4. net.trainParam.Lr=0.05;* h$ r& z% ^/ W
  5. net.trainParam.epochs=2000;/ X' w2 _! M, U5 c) R, O2 V
  6. net.trainParam.goal=0.65*10^(-4);6 r$ K' ?: r( \' T4 m6 _
  7. net=train(net,pn,tn);
复制代码
我只改了这里面的，
& K) R. V1 v# E2 b一、改成单隐含层的，6个节点
: I6 a2 k6 M  c7 d; T& q: i二、训练函数改成梯度下降BP算法 traingd
" T2 _' l+ e' ^3 m- C" |三、迭代次数改成2000
  b( X' c& q5 Q' M4 [上面的参数是自己试的，我也不知道为什么。
* O$ t9 {) _7 a由于这玩意儿比较不靠谱，楼主多运行几次就能找到拟合的比较好的网络。
2 {: ^! Y$ {2 M7 u: H关键问题是有没有过拟合我也不知道，等大神来解答吧
作者: 且生    时间: 2014-7-22 23:36
因为样本比较少，所以训练函数没有选会调节学习率的
作者: 狼之魂汪洋    时间: 2014-8-6 14:00
你这例题是在什么书上找的？
作者: T-Eric    时间: 2014-8-7 20:55
狼之魂汪洋 发表于 2014-8-6 14:00
8 w  N6 I  _* `$ G) j你这例题是在什么书上找的？

# h' t0 M0 q  C就是那本《matalb在数学建模中的应用》



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