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升级   60% 该用户从未签到 - 自我介绍
- 我是一个十分热爱神经网络的人
 |
- P( T4 f) Q2 g- `3 p
#include<stdio.h>
1 ^7 [& m }. N* j$ B#include<stdlib.h>
4 Q; M, O! M1 Q! W6 t7 p! d4 @#include<math.h>0 Y9 h' t; G* g% [. ]* ?& W
#include<malloc.h>
; k& d. K- e7 Q* q* f- Q2 v
% [, v. `2 G. X$ @- w7 m) o* v#define TRUE 1
! O& |$ O: |6 v% p- [#define FALSE 0
9 ]6 W" p% `" a' U( ~- D$ a% Q* Z/ a# C6 N d4 H
#define NUM_LAYERS 3, Q1 p. h5 M" s. e5 V
#define NUM 124 //训练实例个数
/ p5 B) H( N! C( y' m- A( o; y#define N 5 //输入层单元数- h" Z z0 H3 S) n7 ^( K$ z" p6 d
#define M 1 //输出层单元数
1 n" b; {* t4 w/ E4 y! O8 {% E8 w0 O, Y8 {4 {' m
int Units[NUM_LAYERS] = {N,7,M}; //每层单元数
; V* H. c2 y! m9 _ FILE *fp,*fb;
- o! p# h/ J# T3 F% x, H8 ]; t/ L* o- k- y% J# U) a
typedef struct //训练实例
0 v c8 U: n8 ?" R{
7 R6 S$ v, Y/ R- K4 X2 b float x[N];& O8 T, m- R0 @4 y1 V
float y[M];9 [0 d6 H! I7 l2 j9 u
}TRAIN;) G- z. F( Y7 E% a
& }/ ~# U6 B/ \ W6 s3 p+ F9 E
typedef struct //网络层结构- e3 }# o) M0 K
{& D8 O9 u4 R& P3 Z
int Units; //该层中单元的个数
: [" H- ~$ N2 y5 S* d float *Output; //第 i 个单元的输出$ l' R# {9 q: m. z
float *Error ; //第 i 个单元的校正误差5 T- k, `0 @* v t: e
float **Weight; //第 i 个单元的连接权值
}; @/ g. Z6 G& ]: ]. U. Y}LAYER;
! L2 ~# T, S: M" H% V
8 _3 F L8 t+ j! k4 ltypedef struct //网络0 |% Q t$ K/ b7 u% F, R
{
0 R Q% y, b! e* p2 e! u8 @( b LAYER **Layer; //隐层定义
" b; M0 X4 g" o' { LAYER *Inputlayer; //输入层
: Q- j. _/ p, n LAYER *Outputlayer; //输出层
- O1 l9 J j G4 e# \" p/ _3 N float Error; //允许误差
: {! G7 ^0 ?/ ~: } float Eta; //学习率 V$ ^( D8 M% E) |3 G% D! |3 h
}NET;# j! Y) S: e& }
8 A7 [+ |( y6 L
//初始化伪随机数发生器- V, v" \7 C& ?. D. m+ D% T
void InitializeRandoms()+ S5 k O2 I& L; I& m1 h% B3 A" l
{0 j: {; _: O2 D" C+ G
srand(4711);; D9 _* l% S: _$ y3 i, l
return;
; v& p; G& a- C& t/ {5 j# ?}
4 T8 J$ \. D& I- w/ N+ u
+ G: O+ _) X5 _/ G% ?//产生随机实数并规范化3 f% k/ G( x! H \* z* w8 L
float RandomReal() //产生(-0.5,0.5)之间的随机数
, @8 y3 Q: J [1 Y{
& f& K6 m2 c h$ Z- J& `) ~ return (float)(((rand()%200)-100)/200.0);' \% |2 A3 M! G6 L [
}- w+ L1 e- U8 ]7 |
9 F- @- _5 U6 k$ b
//初始化训练数据
/ {! q% U, j2 L) u9 ~void InitializeTrainingData(TRAIN *training)$ w/ z* q O! U
{$ R: H ~4 p4 Y% w, O
int i,j;
3 b. I0 h6 y7 P `2 @ char filename[20];) j/ b7 v% _; B. ?
printf("\n请输入训练实例的数据文件名: \n");
& S$ h" L% U" i gets(filename);
% N) n# x$ H5 e' E( R fb = fopen(filename,"r");! g' h! k) I5 E
fprintf(fp,"\n\n--Saving initialization training datas ...\n");4 C; R6 d$ l* I( A/ G" ?
for(i=0;i<NUM;i++)
3 S7 ~5 b* M" S {
% f4 }5 j: O$ ] for(j=0;j<N;j++)( `4 k3 c+ `* L% k* d' |' g' P
{
9 c# s) y4 \1 T8 E! `6 | fscanf(fb,"%f",&(training+i)->x[j]);
- Q& @) B A, r fprintf(fp,"%10.4f",(training+i)->x[j]);$ K' c8 y0 W9 [- E ?% V) d. K* l
}2 G4 ?8 [6 o0 n! r) T6 L
for(j=0;j<M;j++)& P9 ~ A) _+ ?; b: C
{
& f/ g) T6 }- ~ fscanf(fb,"%f",&(training+i)->y[j]);- h: W. q& ?! h( p
fprintf(fp,"%10.4f",(training+i)->y[j]);
0 N" \4 S2 Q7 @! X }
* M& h9 c9 M7 l" ~% }2 [4 G3 E fprintf(fp,"\n");; H! K+ d. I6 ^1 T8 M! M! p1 b, E
} B9 n& n! e: ^- `
fclose(fb);( b& G _: T3 P) I1 d$ A
return;+ S/ K& j, e' N. a' g9 c
}2 L4 u1 z+ |0 A" i6 k
: s; X* Y2 g6 p& k- {, }, C( F* @//应用程序初始化
, c. `( V" N; B- \void InitializeApplication(NET *Net)
3 d% ?2 [" R! M) R{
6 \* W8 W5 R7 V1 t4 [' B, ] Net->Eta = (float)0.3;7 ^' C4 t' [ r, e+ W
Net->Error = (float)0.0001;
, R+ r) w7 q" J* x" A8 e W" o. H7 Y fp = fopen("BPResultData.txt","w+");
) {; N$ }3 `) V7 o. J# K ~ return;( [/ f3 \4 ^! I: O) A1 v y0 F
}
' r8 c1 \7 h2 ~( u1 k% R; r l. _# K9 u$ S( K7 T E( f. f, P
//应用程序关闭时终止打开的文件
& L6 ^1 }/ y+ l4 w7 Rvoid FinalizeApplication(NET *Net)
/ t$ ?" N( A3 \, [5 f8 o+ L{( p- l5 K, V: v* Y: S5 M+ L. o
fclose(fp);8 B. w3 L' V/ l2 {9 P
return;6 k: L: K7 O1 B, F
}( A- c& R$ e6 d2 q8 S; r& t
! z2 {- _/ Q9 [2 b! k//分配内存,建立网络
( Z( u( {. P5 o2 n2 }void GenerateNetwork(NET *Net)
" w$ R5 ?2 }5 r+ o$ o/ k{2 [4 a( y- l* ^
int l,i;
* {! {: O2 b) j" f- u' S2 f Net->Layer = (LAYER **)calloc(NUM_LAYERS,sizeof(LAYER *));
5 U3 A/ {1 C8 p for(l=0;l<NUM_LAYERS;l++)3 K: n, p9 U, e+ d3 X/ Q/ r$ X# m: e0 j
{
; Y9 N4 l1 L1 M/ L Net->Layer[l] = (LAYER *)malloc(sizeof(LAYER));
1 j% P/ w! A# @4 Q3 x6 s% b5 M" \+ h Net->Layer[l]->Units = Units[l];- g/ z7 Q# s* w! p# y5 j. j* ?
Net->Layer[l]->Output = (float *) calloc(Units[l]+1,sizeof(float));4 Q& p/ ?# w2 |
Net->Layer[l]->Error = (float *) calloc(Units[l]+1,sizeof(float));( n. z& I% P7 u Y& X
Net->Layer[l]->Weight = (float **)calloc(Units[l]+1,sizeof(float *));8 @8 g) S) C9 k
Net->Layer[l]->Output[0] = 1;
M( d, z% \% w4 E/ F, k; Q if(l != 0)& w, I9 S1 L# N; N
for(i=1;i <= Units[l];i++) //下标从"1"开始1 Z6 @) e: W0 ]. E
Net->Layer[l]->Weight[i] = (float *)calloc(Units[l-1]+1,sizeof(float));
6 u, B$ a7 P. `5 `- K }! K9 w5 ~& W" a) \$ W+ p$ V
Net->Inputlayer = Net->Layer[0];
% R' C6 c$ T( V Net->Outputlayer = Net->Layer[NUM_LAYERS - 1];6 Y% P" q: i7 i- q% [
return;4 U* s3 A/ R6 ~! }3 q! v7 w
}
- }8 Y, N/ e3 a {& u: d6 l
0 e4 ^& t2 f/ m9 `" m: \2 O//产生随机实数作为初始连接权值! O& e- u4 P3 x5 E4 h* i
void RandomWeights(NET *Net)
% ^, z5 S% a+ w' {{
" g5 _, M+ h7 i. v6 n int l,i,j;
8 i/ g. d z, C% g for(l=1;l<NUM_LAYERS;l++)
; k" y) \( m! U# p# {% q; I for(i=1;i <= Net->Layer[l]->Units;i++). p7 a2 i5 v+ n
for(j=0;j <= Net->Layer[l-1]->Units;j++)
3 a2 R; U y1 K+ M9 X& Y; @ Net->Layer[l]->Weight[i][j] = RandomReal();
0 ?" j* I6 }+ K o) v return;, w6 A8 ~9 k O3 }. k
}
. N4 F$ O# ~0 R; |! c; H
9 T. Q- E$ @; E4 {//设置输入层的输出值
) [) U' b7 T& |5 i: A& H) \- ^" ~void SetInput(NET *Net,float *Input)! [( J3 e# V% z3 L* c$ N
{8 v) l4 ?6 ?1 p; e* E8 O4 ^
int i;
% B I/ {* ]6 H1 @- Y0 R for(i=1;i <= Net->Inputlayer->Units;i++)
6 k; G: ] u4 {- [4 d Net->Inputlayer->Output[i] = Input[i-1]; //输入层采用 u(x) = x
7 F: p% O% S: d return;8 e/ k" z! w: |7 u
}$ X* y! l" D. C
2 C& p2 V/ \) ^6 ^+ ?8 ]9 C) C
//设置输出层的输出值4 x6 S7 I% _. }
void GetOutput(NET *Net,float *Output)
* s1 C; ?1 d: k{0 V0 G$ _8 Q+ K! x- e* w
int i;2 N4 Y4 ^0 w' T% x5 ~3 J) i
for(i=1;i <= Net->Outputlayer->Units;i++)
) b7 O* ]7 S" K8 a Output[i-1] = (float)(1/(1 + exp(-Net->Outputlayer->Output[i]))); //输出层采用 f(x)=1/(1+e^(-x))
/ {( S# t7 K! [% l7 @5 i% \+ s return;6 {; @7 O4 s' l) p
}* ^: m/ O" t( m& M2 I6 ~2 @; P
; e& I. N$ k; f. ~1 a" t+ F7 P//层间顺传播' W6 W; b. c- s% W" b3 T8 k; C
void PropagateLayer(NET *Net,LAYER *Lower,LAYER *Upper)
0 U( L i% a8 A{
* N ^) d' g6 V' V4 [' z int i,j;7 S# h3 G( `7 r! \, C/ {* ~- C
float sum;
& r& v6 x. X" I& b7 v0 K z- |8 X) C/ l for(i=1;i <= Upper->Units;i++)% E! c$ X% H. E0 Z; E# H
{
" l+ ^2 o& v+ H" }; R9 t' O [# q sum = 0;1 N2 v+ p8 A+ J: c: G5 @( \
for(j=1;j <= Lower->Units;j++)0 f z) }$ @7 U% Y Y
sum += (Upper->Weight[i][j] * Lower->Output[j]);
: q& ~( `' q$ u( C Upper->Output[i] = (float)(1/(1 + exp(-sum)));$ B8 w$ X0 l4 r' |* W' p' ^
}
( a) S" {6 `( o/ U" w return;
- b8 @' u: k) }8 ?) ?: P1 r}
6 _( X/ M- u. }
- _8 K+ a* J& q$ I# }//整个网络所有层间的顺传播
* i, [+ ?' _; `( K1 z: gvoid PropagateNet(NET *Net)
+ l, T& G% g& Z3 M5 q{
# I7 Y, o: D; c5 e int l;$ M0 d8 A) d' a, d2 \
for(l=0;l < NUM_LAYERS-1;l++)! h8 \- F) m& d+ p1 q% q1 Y
PropagateLayer(Net,Net->Layer[l],Net->Layer[l+1]);
+ L3 C. V7 Y. Z- ? return;& s- }# [/ ^8 v. |. Y2 Q F3 k
}
) b4 I1 s! e3 _0 q5 C( z, _5 n c2 v4 K$ }
//计算输出层误差+ @& b& U) ^) P" _3 q/ S! S I
void ComputeOutputError(NET *Net,float *target)2 S9 F L& c& C) p, y! d) w
{* y7 R7 U) t9 i" R( a- t
int i;3 }" p6 p3 W) M$ c5 _
float Out,Err;; ~, }8 b5 _$ A4 A) F- a
for(i=1;i <= Net->Outputlayer->Units;i++)
" G2 z# E4 f8 p! [( p1 b {
+ \: E5 ^$ C; o1 h2 {9 f Out = Net->Outputlayer->Output[i];
/ A) G6 \, P3 ^: E2 [ Err = target[i-1] - Out;
% T9 i2 n. Y' S3 l9 r( B7 ^ Net->Outputlayer->Error[i] = Out*(1-Out)*Err;! l1 |- m G9 i$ ?4 c
}- Y o7 @3 Z1 J* O, X: a9 [% g5 J
return;
; F' G2 T0 c- e}3 H, k6 w1 A7 n% Y3 Q
! W9 J4 T! T6 S2 b" z6 g2 ]) J//层间逆传播! {, _1 g2 A) `
void BackpropagateLayer(NET *Net,LAYER *Upper,LAYER *Lower)( g9 I4 B/ ^1 `% l. ~$ [
{" L( n/ e6 D: F0 ^ I
int i,j;3 h& e+ ^' u' U2 k9 d" _- ]6 q- u" r
float Out,Err;
6 N1 U4 O" O+ A+ U for(i=1;i <= Lower->Units;i++)" E4 G6 o: A/ }$ K; Z% m
{9 R4 d8 I# p% M2 D, l
Out = Lower->Output[i];
! L; p8 T# E' D: W Err = 0;
- Y% h7 w3 D4 D* i for(j=1;j <= Upper->Units;j++)
' A z( z I; q, A3 P- ? Err += (Upper->Weight[j][i] * Upper->Error[j]);% m8 i/ k' ]0 k, l8 U
Lower->Error[i] = Out*(1-Out)*Err;
6 M/ M8 e3 `7 A/ l/ i" O M- x }5 s) b, |6 K" }0 K" s8 o' h1 l$ [
return;3 a( b# q5 \2 o! B! g
}' o% ~* p: h+ `6 Q0 F
) b ~; V4 ~8 i. X% H: g( l1 \
//整个网络所有层间的逆传播7 G2 h6 E% t; Y: @
void BackpropagateNet(NET *Net)
$ R F1 ]# E' V0 V{
. ~6 q: y* p1 M/ s: n5 ^" N int l;
4 ^! B2 F. d p5 M, d for(l=NUM_LAYERS-1;l>1;l--)3 ` i2 w0 t& u! z0 x* y
BackpropagateLayer(Net,Net->Layer[l],Net->Layer[l-1]);4 V# ^/ X! L. s8 z; @ p! C8 V
return;
' }6 z* Q0 {0 c2 [}" z# |& A. R9 C7 N% \' W
' x% F" h5 u* n( J4 {4 z3 S
//权值调整
! }6 ^) b& @* |$ w6 f9 avoid AdjustWeights(NET *Net)& `2 E$ ^- s! V4 u6 d
{3 {. k7 }2 E9 t8 V* O
int l,i,j;
9 G0 i$ a8 r% _5 ?% N4 J x float Out,Err;
: l" w# ^) g/ S8 T0 X' W! K for(l=1;l<NUM_LAYERS;l++) n3 I z% A" [7 J2 j' A+ J
for(i=1;i <= Net->Layer[l]->Units;i++)
7 y! m: r5 |) m# g" p" }2 w for(j=0;j <= Net->Layer[l-1]->Units;j++)
9 q4 `7 O+ b* r& N8 e, F3 f" X {1 G9 R3 Q; r a5 }
Out = Net->Layer[l-1]->Output[j];5 B4 ?( o9 O/ u( P: i }4 m
Err = Net->Layer[l]->Error[i];
$ t! N% f. p( [" q& u Net->Layer[l]->Weight[i][j] += (Net->Eta*Err*Out);) h4 N- s( M8 m* P; F2 M. M( r# R
}: S' m2 G; }: f+ D" _: g3 R" K7 ]
return;
' z+ `( ]5 u+ W/ _: f/ w7 X, f}
! K% ~4 S3 i2 T- D h1 V) N; q7 o0 t$ d3 X
//网络处理过程7 Z8 ~1 F6 ]! h, Q$ A
void SimulateNet(NET *Net,float *Input,float *Output,float *target,int TrainOrNot)( s2 J/ x" q% q! q3 C" L2 E
{
7 i. Y3 v" P2 g8 U SetInput(Net,Input); //输入数据5 G1 F! w: O9 j6 q2 d }) m8 _
PropagateNet(Net); //模式顺传播
) t" S: } @' r4 z' {( { GetOutput(Net,Output); //形成输出( x1 `3 R) I8 \- }
ComputeOutputError(Net,target); //计算输出误差
8 w3 p6 \* L/ u) p if(TrainOrNot): H0 ?& m4 h* u- R7 d! {
{+ g( o2 q% E# U. D& b3 c
BackpropagateNet(Net); //误差逆传播
! O2 m* _. q4 ] N6 i AdjustWeights(Net); //调整权值6 q/ d# }0 f* ?
}
/ C" S: g& R- T4 \& M3 K- ? return; C5 f9 E9 \8 u4 i' M
}
' _9 z% A5 `/ i/ ^
{" e: r4 t x j: F: L, W) M) u/ _//训练过程& V: ^; h( g% ~
void TrainNet(NET *Net,TRAIN *training)& D9 L; y6 L, q
{$ n+ t) y0 X- h, I- S% X- Q1 s
int l,i,j,k;
8 j9 p4 Z+ ?" h int count=0,flag=0;
7 M0 e# i) O) d( _" @ float Output[M],outputfront[M],ERR,err,sum; O; b% g3 _- y4 w9 j" F6 [
do/ M4 b6 L1 d5 b) M# H& J) r
{9 n+ I. X1 C) R/ D0 C) Z5 l5 p) t
flag = 0;* V; a2 Q, i& T( x* u, P
sum = 0;. w% A5 {- x! g. }
ERR = 0;' y5 |+ s& _4 d
if(count >= 1)! `$ a1 r0 e. I* ^. Y' w
for(j=0;j<M;j++) [3 H) r7 Z* V# {
outputfront[j]=Output[j];. O$ X V6 @) t9 n
SimulateNet(Net,(training+(count%NUM))->x,Output,(training+(count%NUM))->y,TRUE);
5 A, U$ W5 W7 {' t9 @ ?+ ^ if(count >= 1)
5 p, g* U5 d! J( O" Z {4 q( D- ~3 j9 _
k = count%NUM;
9 N4 o& y- g+ E/ v- F4 _( Q( K for(i=1;i <= Net->Outputlayer->Units;i++)
) Z! @" f: s2 ?/ Y {( q# f7 O0 N% ]% K1 {2 g: \# n
sum += Net->Outputlayer->Error[i];
% H) ~& e/ E. g4 ` err = (training+k-1)->y[i-1] - outputfront[i-1];
% }2 r5 W/ S9 k: {: d1 @' c' L ERR += (outputfront[i-1] * (1 - outputfront[i-1]) * err);3 y7 u4 d; k1 E3 g* z8 O: D4 x' Q
}
& M! ^" g0 S& @ if(sum <= ERR); y; T# N; J' C$ H* `
Net->Eta = (float)(0.9999 * Net->Eta);
6 `. t- D1 Y8 m' v' W0 [: h% k$ P else0 T. q9 L& s; }$ }+ z
Net->Eta = (float)(1.0015 * Net->Eta);
6 s0 N) G' h. {4 o& U7 w
& |' H9 X5 F3 z$ B+ \" N( D2 _ }; v ]* b6 ?% \5 g* T3 X; ?
if(count >= NUM)
( W- F& K9 z1 b* M- a9 \ {4 O; r& u2 e& Y0 W/ f
for(k=1;k <= M;k++)! s2 Q: q$ C+ ?+ r" L
if(Net->Outputlayer->Error[k] > Net->Error)& a$ i' N. z; D( w2 A+ z/ N
{ flag=1; break; }1 J# [' Z% h9 |! s- ]) R
if(k>M): L. H5 ], g4 P; R0 x" B5 w, s5 {7 c
flag=0;# m9 h# f5 i) D9 I5 g+ a+ {
}
7 L9 a. Z8 p* |9 A: X% I2 l- D8 ?3 p count++;1 w; J, `/ D8 L2 [" U7 p" V" U
}while(flag || count <= NUM);- E6 @8 ^- o$ n/ a% D1 v3 |6 n
fprintf(fp,"\n\n\n");
# T$ a5 Z a6 _2 F fprintf(fp,"--training results ... \n");! Q/ O9 a- G8 Y2 n+ l
fprintf(fp,"training times: %d\n",count);
* G: F; p% P, F3 v fprintf(fp,"\n*****the final weights*****\n");- _) W7 ]2 V8 J
for(l=1;l<NUM_LAYERS;l++)
: O- {' d1 Z! q |& {; K, W+ ` {$ G* c O( `$ B* }: M3 u
for(i=1;i <= Net->Layer[l]->Units;i++)
( F* C, q1 F4 o" B {* o4 L- a6 {+ v u
for(j=1;j <= Net->Layer[l-1]->Units;j++)5 s% A) h v+ ?, s2 m. }
fprintf(fp,"%15.6f",Net->Layer[l]->Weight[i][j]);
5 v2 ~% H, S7 {6 R fprintf(fp,"\n");
5 j' s+ v1 C% F }0 g3 p0 x/ Z: M& Q
fprintf(fp,"\n\n");9 {6 N$ R: k- o$ Q, U( M# T! u
}
4 F7 `$ u% W9 l/ \8 P" N" b}) E% y' d z, E+ v- p- t
b! a; p1 ]% g/ B# Q @- }//评估过程
8 J& h0 s+ R A' T, r) F ^8 Bvoid EvaluateNet(NET *Net)
3 `5 @2 {. n z2 @$ R# f8 }{
3 W/ V$ L$ q- Z0 a# l" h4 `4 e% o int i;
7 b/ g' I0 Z5 y2 x0 E' q printf("\n\n(");
+ P+ a2 g9 q7 |, X$ j- I fprintf(fp,"\n\n(");9 e$ _! z+ a5 S* O0 `+ Z
for(i=1;i <= Net->Inputlayer->Units;i++)( \( d; x" x' |& B
{
+ J8 G! \% w W9 V/ E printf(" %.4f",Net->Inputlayer->Output[i]);
5 u) L' }% a9 s" k8 @9 n' B fprintf(fp,"%10.4f",Net->Inputlayer->Output[i]);
3 M1 O' R5 L: q' `7 o! q& u }- R4 c4 b" `8 x) r0 Y6 u
printf(")\t");
! d4 O( ~, z, }+ v6 m6 f# t fprintf(fp,")\t");
# w' H0 \6 U$ p. M! [0 E5 k for(i=1;i <= Net->Outputlayer->Units;i++)
) ~ T" o% ~% d# P+ ~$ |2 S {
K- I' d2 a0 F r if(fabs(Net->Outputlayer->Output[i] - 1.0) <= 0.0499)
$ J# R2 d* e6 Y" G1 X0 r O. s {
. Q$ k+ M! A2 M. g3 @1 M% a0 U$ r printf("肯定是第 %d 类, ",i);# Z6 ^. w! Q8 y7 f9 _$ D6 F
fprintf(fp,"肯定是第 %d 类, ",i);4 w) D% Z; w1 L- y& I& h6 Z" h
}/ p, E! ~7 D/ {
if(fabs(Net->Outputlayer->Output[i] - 0.9) <= 0.0499)
- X: e6 B7 x% N; s' A {6 M6 t" z- w/ m( I: k: R) ~7 Q
printf("几乎是第 %d 类, ",i);
4 B8 h, D. X. P6 t fprintf(fp,"几乎是第 %d 类, ",i);
6 z1 {7 @! I! \: B3 f& r! ]$ x; ~ }0 ]6 D+ u" `& h1 S9 c
if(fabs(Net->Outputlayer->Output[i] - 0.8) <= 0.0499)
6 g9 i- U+ _9 f. \, g+ z {
) j! Z: Y4 b3 q3 }. | printf("极是第 %d 类, ",i);/ q5 |9 q! h6 ~5 H0 g
fprintf(fp,"极是第 %d 类, ",i);
. _, U- }& ^; W3 ?4 ? }6 ]) d: P2 ? d1 j
if(fabs(Net->Outputlayer->Output[i] - 0.7) <= 0.0499), j/ [' H- T o& P% h/ _
{5 R& C, S+ ?; J9 Y
printf("很是第 %d 类, ",i);3 z4 C" ^. y+ Q
fprintf(fp,"很是第 %d 类, ",i);
' W4 Z# D- d, T' G: m }
" U# u) |+ \4 ?9 e, T9 c6 |0 f0 y2 T if(fabs(Net->Outputlayer->Output[i] - 0.6) <= 0.0499)
8 }( v3 t2 z- y: I' B/ Q {
" P* u* M3 A9 M& E printf("相当是第 %d 类, ",i);: m3 O% T, d- m1 m2 J8 P
fprintf(fp,"相当是第 %d 类, ",i);
' ?5 f5 T- r- a }0 G+ R; U$ @9 j' a, j; U
if(fabs(Net->Outputlayer->Output[i] - 0.5) <= 0.0499)
7 D; A: z( g7 {5 ^$ A' O: k {
y5 a# S6 y& R, U* v0 H printf("差不多是第 %d 类, ",i);# ]0 k# r( ?" i. j( o+ e9 \
fprintf(fp,"差不多是第 %d 类, ",i);
, @+ o* u& f) c M4 M1 g5 N }6 m0 M, ~/ {1 C9 H
if(fabs(Net->Outputlayer->Output[i] - 0.4) <= 0.0499)
% n r* q4 G9 }, ~ L- ^ {3 Q) n% Q6 l: y& P
printf("比较像是第 %d 类, ",i);
8 T! E' C4 c. k; E; g fprintf(fp,"比较像是第 %d 类, ",i);4 P7 U, L. M2 U! V. y
}: X* d2 Y0 V w. U; r
if(fabs(Net->Outputlayer->Output[i] - 0.3) <= 0.0499)2 O) H( `2 ~2 V, K
{
( S; [) W y: ~1 |4 T1 f printf("有些像是第 %d 类, ",i);7 d) d( M7 s) l" F4 M" ^/ j
fprintf(fp,"有些像是第 %d 类, ",i);' b# V* @' g- J& r5 v. F
}
9 L6 m& a7 l9 e/ A7 N* F if(fabs(Net->Outputlayer->Output[i] - 0.2) <= 0.0499)
' Y2 O5 Z. Y e+ q {+ d/ C6 z* T2 L3 i6 K
printf("有点像是第 %d 类, ",i);
1 S" U4 J+ V9 _% r9 k0 ` fprintf(fp,"有点像是第 %d 类, ",i);1 j6 R. {) e+ N& |$ ?
}
! R% {3 o' r8 D V. `5 ` if(fabs(Net->Outputlayer->Output[i] - 0.1) <= 0.0499)& q( ~% q: n" f
{
. E- d1 k- ~/ H6 o: ?9 D printf("稍稍像是第 %d 类, ",i);; n7 A+ H3 C6 Z2 `3 }; b
fprintf(fp,"稍稍像是第 %d 类, ",i);
. Q5 }5 u# C0 d }
, ^8 C* v8 P' k$ {% K8 `, B3 i if(Net->Outputlayer->Output[i] <= 0.0499)0 E& X1 ?6 R$ J2 J0 C; o Y# q
{
. J9 y2 S7 p+ O7 O7 w' ]- f printf("肯定不是第 %d 类, ",i);
0 f1 v( _9 R9 t; h/ A- i! g) S fprintf(fp,"肯定不是第 %d 类, ",i);
7 x' m) J' H9 _. m: Y Y }
3 g1 F" v1 N- N) B4 @/ E }8 V! E' a" [4 N; d8 ?; a
printf("\n\n");
* P d; n2 E+ ? L fprintf(fp,"\n\n\n");
2 [; t* \5 d8 h( C, C2 V; h return;. P! v! C/ i+ [; p2 g1 A E' G
}. ~2 g- j# Z' _2 O! L
2 O# |, C1 s3 }( P//测试过程9 @% N2 b0 x( R1 B) c
void TestNet(NET *Net)
) v0 R6 P0 P& f& M{
* ?7 Y. {9 D6 b TRAIN Testdata;
) q4 b& P, f0 Z float Output[M];6 k: _) u. F8 A$ _
int i,j,flag=0;, w5 y( z5 E. n, t) X
char select;
% m! S% H6 }. i3 K4 }8 g fprintf(fp,"\n\n--Saving test datas ...\n");
0 @5 q( r) A0 R$ W# ^- r do
" ~+ ] f) a+ r P$ v {
0 j F4 f3 E7 K) b: q/ J: k! c' p printf("\n请输入测试数据(x1,x2,x3,x4,x5,y): \n");
: @7 N+ l! g. B j+ r, i for(j=0;j<N;j++)
! \3 \2 g- x" U6 c% A- [ {/ G' o& o/ C' Y( B U5 ~
scanf("%f",&Testdata.x[j]);
$ U8 q) o5 o! V. L1 y( _$ U) b fprintf(fp,"%10.4f",Testdata.x[j]);: J% ^' M8 I# h3 b, }
}
$ I4 m& g; \. v+ R for(j=0;j<M;j++)
$ K2 s6 w: K/ X {
8 f" T: I7 {- ] scanf("%f",&Testdata.y[j]);3 {+ @' p/ v; G! |3 `7 C
fprintf(fp,"%10.4f",Testdata.y[j]);9 Z; J0 a* Q& L% C3 L
}% @" ~ [% N9 P: i% {7 G
fprintf(fp,"\n");
, T6 C! P9 o8 e' m9 y' m SimulateNet(Net,Testdata.x,Output,Testdata.y,FALSE);
" ~. q5 B% O3 g3 ^3 { fprintf(fp,"\n--NET Output and Error of the Test Data ....\n");+ T H7 u B% d! \: c& J h0 B
for(i=1;i <= Net->Outputlayer->Units;i++)6 I, C9 F# S8 @$ z5 O4 F$ Y K! k
fprintf(fp,"%10.6f %10.6f\n",Net->Outputlayer->Output[i],Net->Outputlayer->Error[i]);+ ]# { T/ d$ d/ ? ~ V
EvaluateNet(Net);7 N% `; n; \: f7 Q0 D
printf("\n继续测试?(y/n):\n");
% t8 J4 z# D3 w getchar();9 @# P5 ^+ o' S. _" x
scanf("%c",&select);& b7 B, }; ~; ?3 ]7 @
printf("\n");7 D( z9 E" ^/ P8 z9 n( b+ I
if((select == 'y')||(select == 'Y'))
9 y- q( Z5 ~" T4 Y# e( U flag = 1;- r" N+ V) i' l" l' f! @5 f
else
8 o) y. D0 p/ v, y flag=0;
o9 T8 V/ d) J: K4 [! M5 A }while(flag);) I' a: E( S5 P8 H3 d n
return;: c4 w8 i9 T$ I( x& L( v
}8 a. ?) v# O& g2 F3 ^3 _1 B
! Y; \# W: K: Z2 _( W1 T
4 O2 o& Y' ^6 G8 K2 [% A$ u# Qvoid OUTPUT(NET *Net)/ \- O; p h/ x- g8 J
{. V/ l0 ]% x$ `) E. v* o
float a[NUM_LAYERS][9]={0.0};6 [, u8 g$ M" r) |6 [* z; B# Q, p2 f
float b[NUM_LAYERS][9]={0.0};) v& f# K* Z- Z: L/ w7 s
float sum1[NUM_LAYERS][9]={0.0};* m& V( w" P9 o/ H2 z
float sum2[NUM_LAYERS][9]={0.0};;
3 p. C, {3 k* y; z' Q float test[N];
4 ]) A0 T7 Z$ T7 v; {5 l5 o$ t3 q6 O' T //int i,j,k;' Y5 M) K' n3 v. k$ v" s. V# E. P6 j
fprintf(fp,"\n\n--true input datas ...\n");6 N/ [9 ?& Y9 ^$ O6 t4 i* e
printf("\n请输入要判别岩性的自然伽马值、密度值、中子值、声波时差值、深电阻率值:\n\n");
1 h- |; |' ?7 O- \ for(int i=0;i<N;i++)! J9 X! O' \# D7 T6 v' p5 H' Q
{
% T N4 U8 T1 B* x8 {# b/ N scanf("%f",&test[i]);, H. r% m1 Y# v0 o& |( D
fprintf(fp,"%10.4f",test[i]); z: B$ Z. U- v2 x6 ~ J! S: g
}% [" v, I2 Q8 g' r( k4 Z$ O
2 ]" w: \% T. r, a! b2 T5 @5 u7 B/ C2 t K+ s
for(int l=1;l<NUM_LAYERS;l++)6 R9 U& @6 d$ z. ]8 t2 X
{
3 a6 q& F( q3 M d2 e if(l==1)( ^/ r* E- N$ x5 C7 l) v/ y
{, C/ l1 U8 {6 p% P; F* E. D& u
for(int i=1;i <= Net->Layer[l]->Units;i++)
J) w5 U5 K( c7 m {2 U6 c$ B) {* U) n
for(int j=1;j <= Net->Layer[l-1]->Units;j++)
) |( y& Q) s) I" u' g$ K (float)sum1[l][i-1]+=test[j-1]*Net->Layer[l]->Weight[i][j];2 D. x F; x6 F% S
(float)a[l][i-1]=1/(1+exp(-sum1[l][i-1]));' J! U a* a, k N8 g
}
" |. W/ A+ [- W% z+ w6 I' a% t printf("\n");
+ v, g. N% v" Y3 d }3 [9 g4 W; e# _2 C
4 H) N, j5 L5 J. ^$ _/ K if(l==2)% D0 Y& w+ c. s7 E0 I( i% }' E0 ]
{ ]2 r( W& q. y3 F+ r: y+ I
for(int i=1;i <= Net->Layer[l]->Units;i++)
, d+ g! n3 ~' Q6 h& \ X) j {. X1 r) g5 J, K
for(int j=1;j <= Net->Layer[l-1]->Units;j++); i* Q2 q1 U7 F$ d1 H
(float)sum1[l][i-1]+=a[l-1][j-1]*Net->Layer[l]->Weight[i][j];
* C3 I o! F; x5 B2 @8 E+ d, v; X (float)a[l][i-1]=1/(1+exp(-sum1[l][i-1]));( L8 E+ \7 C0 O; I, p. s, d1 z
printf("%f\t",a[l][i-1]);
$ i" m+ m+ Z0 i8 D1 H0 K }# v% D2 M [0 J$ Q8 Z
}3 I8 ]& E% H5 z+ y, A, P/ X& U8 M
}
; D! _' }5 p m6 F5 t: R5 k- l}3 b5 S* k c( `- L# u# T
; O. O3 k( q; a2 \; S
$ b* O) J$ I9 Q
//主函数+ d. J4 V1 X4 J
void main(); W& t2 h# z6 E# J) p$ M8 g
{
7 S) U; p6 n( F' e$ n TRAIN TrainingData[NUM];
& u* P! A! ^# Z% R* d/ q: i NET Net;+ J% R- A8 x( \8 k; S- Q. [2 {, K! [
InitializeRandoms(); //初始化伪随机数发生器
6 l. c1 T0 S/ v; O! z/ Y7 Y GenerateNetwork(&Net); //建立网络
" |+ R( f1 x3 q9 m3 \ RandomWeights(&Net); //形成初始权值
$ `* O% B$ a5 X% F6 X3 F InitializeApplication(&Net); //应用程序初始化,准备运行
( O% q. d( `) Y2 ? InitializeTrainingData(TrainingData); //记录训练数据
7 I' x+ P- k$ F% v( Q TrainNet(&Net,TrainingData); //开始训练
) f2 V; H, E0 g TestNet(&Net);
6 H# x" R9 y- M& f- {9 M: W# o8 A OUTPUT(&Net);
/ _0 y( Q8 z/ Y+ _6 h FinalizeApplication(&Net); //程序关闭,完成善后工作$ J1 d+ [* l1 C b
return;" R' \* n- j) s" j7 h
}" x, ~+ B) D% P! B* @
$ c8 Z j( T6 \2 S2 ]5 r+ ?% Q
% b6 e- o# I6 C# z1 } |
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