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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
 |
2 U0 L: w4 Q. J; Y: A# y( \#include<stdio.h>. K- q: B& f" v$ w
#include<stdlib.h>. F7 |; A5 M0 }( E- F
#include<math.h>
2 t6 q( K" r! w; ?2 ]" `$ v6 R#include<malloc.h>7 Q7 r& u: {+ L5 }( {* A
/ B; M& e6 z; ?! \ D& _
#define TRUE 12 d; c) N3 I, B1 \& s
#define FALSE 02 Y9 ?# L' V1 t, E1 ]
! T- P6 B1 X. x( Z0 H#define NUM_LAYERS 3# X# } ?6 G7 ?
#define NUM 124 //训练实例个数3 i- z4 X1 S; `/ S
#define N 5 //输入层单元数7 [. k5 n* m& S9 v8 J
#define M 1 //输出层单元数; Z: E* ~- b; {/ s. x' C
- W) ?- Q3 Z7 ^' Sint Units[NUM_LAYERS] = {N,7,M}; //每层单元数; Z! T: d6 n$ f& ~9 ^% K4 ^$ _
FILE *fp,*fb;/ m6 k2 k7 U J1 E
$ U: }' n" z) U9 M' Utypedef struct //训练实例( B* _: V5 P: N) B3 i& @) L
{
7 R+ n6 G, d } float x[N];% B$ @) V5 p* `! G; f9 _6 Y8 b
float y[M];( |7 |1 [. [2 P; b
}TRAIN;
0 F# `8 F; H9 c3 I& `
3 d* \7 Y- `4 ?; _! I( R! G4 W# Z* rtypedef struct //网络层结构- E0 u4 C) {. Q9 s5 z. o# \
{; ]! m# { }9 a( }4 f+ d% w$ g
int Units; //该层中单元的个数% _; V* E7 {% v. t2 l; t
float *Output; //第 i 个单元的输出! J/ o, G3 L* q9 T; d% x. ^
float *Error ; //第 i 个单元的校正误差' [4 v* U3 O2 _7 t
float **Weight; //第 i 个单元的连接权值
3 J% D0 ?/ {9 N/ B7 V1 U( k0 y9 K8 U}LAYER;3 [: a& X2 N' ~( B
( t. {" Y6 X; W& m% h/ ]7 e, v! otypedef struct //网络
' L% L4 g5 h# H( J{
4 r8 h8 h/ S( P LAYER **Layer; //隐层定义: a4 q2 J, W( {/ ~" i
LAYER *Inputlayer; //输入层
5 c" t' J, A5 f% W8 U$ H6 A* S( e LAYER *Outputlayer; //输出层' y F- ?* x6 _" [7 ~& H
float Error; //允许误差
# Y6 q" X1 j$ f1 a$ H) _ float Eta; //学习率0 d6 h( l; b& t3 Y) y. t1 m1 [
}NET;, K* `) G5 N% Q& M
' L4 u) `0 r$ ?; {$ k% N& Z+ n//初始化伪随机数发生器
* V C( G8 D+ Mvoid InitializeRandoms()3 k& p6 ^) q5 q, n
{
! l( y0 R0 p$ i# w srand(4711);' |( @8 r1 @+ {: K
return;
8 F$ o g0 }- \! t7 M4 W}1 \/ U) V+ n3 C7 H& ?6 L' O8 X& |
4 _" ]% N- g- O* e5 J% M3 d: C
//产生随机实数并规范化
8 }8 ?& _* |! E9 v5 u6 ?float RandomReal() //产生(-0.5,0.5)之间的随机数
% W! f; ~6 v) t0 q8 C' J{
& D" ~, r: w, E# @- X9 \- H% ~ return (float)(((rand()%200)-100)/200.0);
+ \% U5 `/ A. m8 W}
8 ?: f: u2 S. J: ]2 f
2 [7 Q" r9 |5 K" C/ G) F: ~//初始化训练数据 g- [; u0 V4 C
void InitializeTrainingData(TRAIN *training)
3 g- h0 y4 o/ P% w6 H{7 B+ `) x8 W [
int i,j;
3 m8 X# a$ s6 T0 p; k' m7 O* ] char filename[20];
; `- s% q5 V: `& `& q printf("\n请输入训练实例的数据文件名: \n");% U4 w8 }1 |9 L
gets(filename);* i) R' X+ `- V. V
fb = fopen(filename,"r");* o' @/ I8 f& r% M' t7 w; U- I
fprintf(fp,"\n\n--Saving initialization training datas ...\n");
; I+ o+ C1 l$ q; I7 s4 T for(i=0;i<NUM;i++)
; U8 o; H! U+ u {
: o% @6 l" a" a* J for(j=0;j<N;j++)$ _2 h' M% L) a# P" ?
{
# c0 g$ z! O# r fscanf(fb,"%f",&(training+i)->x[j]);
! B& j3 j) L6 o9 F) z: q fprintf(fp,"%10.4f",(training+i)->x[j]);! t% m/ k3 P% v8 k8 j' f' S( G, ]
}
9 v3 z* Z1 F7 W) L! f1 v6 z9 v for(j=0;j<M;j++)
+ \( S$ Z/ s3 h! G/ T# m ]5 n {
* P( ?! o7 z4 M/ k" v" V. v fscanf(fb,"%f",&(training+i)->y[j]);
9 @7 H# W3 m( z5 e* ] fprintf(fp,"%10.4f",(training+i)->y[j]);% I2 e9 w1 i* O) T
}
5 O* L* X. N- K. c9 J" g fprintf(fp,"\n");! ^$ c7 {$ N6 |
}* g x: `$ r4 j1 H
fclose(fb);
$ m- P1 r6 G7 G return;
: f. c, z) e) p# V8 ^0 |}
) T: l+ E* F8 @1 o, X! d
$ y5 h2 j# i( ?( \//应用程序初始化
c8 `) `3 B& K4 a. b* d0 \6 Avoid InitializeApplication(NET *Net)- P4 v/ g+ D% o6 N! F2 |1 M ?4 B
{) n' i7 V9 m2 o8 n7 t
Net->Eta = (float)0.3;
W" U" E; I7 A; q2 C X/ B Net->Error = (float)0.0001;6 m6 T9 ]8 F) T# e
fp = fopen("BPResultData.txt","w+");
5 R# C8 A1 A* Z return;
) \+ x% {4 M. R# w) X% f( X( X! j}% Y d# n3 ~, q u, ?2 q
+ o! B/ W9 z7 x- o$ K [
//应用程序关闭时终止打开的文件
1 M" U: I% a" ^! Y, gvoid FinalizeApplication(NET *Net)
9 M% }9 [# c! ~: t& r: Q{+ _) d$ [4 E, e! P4 \
fclose(fp);
W) f" S0 [0 M* |6 R2 A/ ?5 @ v! d* T return;
) p" \' A5 s, `}: I; ] U& q! G% ?7 a6 @0 `# p
7 C5 p5 G T, q9 w. W
//分配内存,建立网络
4 J: I( G2 F8 H4 \( N4 o$ |void GenerateNetwork(NET *Net)
9 r4 F/ I M2 C: U8 u( y{1 b/ o. W) m$ q
int l,i;
' F! ]1 y$ Y3 n5 g1 Y Net->Layer = (LAYER **)calloc(NUM_LAYERS,sizeof(LAYER *));: ~9 ?% }3 ~) f6 U. _' R
for(l=0;l<NUM_LAYERS;l++)3 m9 I, a0 K/ [. s% e
{
: O R; f4 e5 G+ W+ w. M D3 _ Net->Layer[l] = (LAYER *)malloc(sizeof(LAYER));. B5 l! U. r- k5 v5 c M9 t5 q
Net->Layer[l]->Units = Units[l];
4 J8 O: i( Z) ?% a, C- }6 v* N/ ~7 E Net->Layer[l]->Output = (float *) calloc(Units[l]+1,sizeof(float)); }, M4 x4 o, a4 [$ }1 i
Net->Layer[l]->Error = (float *) calloc(Units[l]+1,sizeof(float));
1 Y( ^' h$ X; n- @9 Z3 G- n# m9 z' F Net->Layer[l]->Weight = (float **)calloc(Units[l]+1,sizeof(float *));
$ m8 ?$ p4 f' I, s/ C* y$ V0 ? Net->Layer[l]->Output[0] = 1;9 z6 x1 z2 `. G
if(l != 0)
E$ z. _6 G* D8 Q, E9 v- Z6 i$ c for(i=1;i <= Units[l];i++) //下标从"1"开始
8 `$ @5 \3 `! ^! W+ r) ` Net->Layer[l]->Weight[i] = (float *)calloc(Units[l-1]+1,sizeof(float));
+ W7 w) y% N" ~5 s$ d) V( N }; x, g5 t q( m: [$ I
Net->Inputlayer = Net->Layer[0];
$ b9 c0 ]. @9 R4 g& I" ]3 I Net->Outputlayer = Net->Layer[NUM_LAYERS - 1];; [; l# h l" r* `" B! j
return;# g, Q2 o: E# _- N
}
( k& c( G9 V+ x- Y- o5 C
2 J q( F2 _( g k- k//产生随机实数作为初始连接权值
2 g& W) ?, E! [( B! `) q2 ~void RandomWeights(NET *Net)
) e& p4 E4 K- Z1 K4 Q* Q( x) z{' C5 g- |, U; R5 h- ~$ b
int l,i,j;9 o8 q: Z3 s. {' T. O2 j8 N
for(l=1;l<NUM_LAYERS;l++)) w" S0 a, q4 r) j% Q
for(i=1;i <= Net->Layer[l]->Units;i++)
U$ B8 h3 u2 p/ [/ j for(j=0;j <= Net->Layer[l-1]->Units;j++)
0 u3 q+ m. W9 J% R! Q2 r Net->Layer[l]->Weight[i][j] = RandomReal();
+ i d+ ^$ D7 E& t/ K$ m- I9 F+ D9 H return;' b+ q: X i/ s9 T: y5 C' X/ o
}
) p) k1 V p4 }5 h% |4 X F( F. N9 }
//设置输入层的输出值
( s" N) F3 {$ G3 \void SetInput(NET *Net,float *Input)4 O- ~1 n& c$ S0 V9 r
{
9 Z9 Z. b* \* L int i;
~) Y* i" F4 v for(i=1;i <= Net->Inputlayer->Units;i++)
% D. ?. w7 y* t7 C Net->Inputlayer->Output[i] = Input[i-1]; //输入层采用 u(x) = x
( w1 y& p9 d2 h7 ~0 ^5 G0 U2 ` return;
2 e' J6 e5 \. q}
; w$ O% a: N0 e5 m Z. i& g1 Z! W3 }, n: o& b# k; a
//设置输出层的输出值
4 \' ?3 i& }8 b" pvoid GetOutput(NET *Net,float *Output)" ^- d% I# u) |
{6 | H/ N: b# h0 Z! I
int i;# J5 Y& Y" ]( ]& L
for(i=1;i <= Net->Outputlayer->Units;i++)
: M$ c/ |! e2 K8 ^- I, d Output[i-1] = (float)(1/(1 + exp(-Net->Outputlayer->Output[i]))); //输出层采用 f(x)=1/(1+e^(-x))
1 Z0 P- ~$ u& r; G+ m e return;2 t+ _0 e- c, M7 ?8 ]
} r. Y3 a s5 d9 O2 e4 m: a
2 o& [) W$ g8 U+ o! v3 K; q+ R) W) R
//层间顺传播9 ?/ { d. y" r5 A" [& d1 t
void PropagateLayer(NET *Net,LAYER *Lower,LAYER *Upper)
" V! v3 c8 q' y" b% F' q{
" k! f$ r$ ?2 S7 j: c6 x9 W$ `2 ]5 O int i,j;
B3 o- S# l p* M3 J4 S3 X float sum;/ m3 L% _, W( r, m1 ?: K" p8 {
for(i=1;i <= Upper->Units;i++)
# e# d5 e% o, h2 l3 G {/ s4 c2 g9 x* k# A* D
sum = 0;8 T+ c9 y- w0 ~
for(j=1;j <= Lower->Units;j++)
" D& X. W6 G% | sum += (Upper->Weight[i][j] * Lower->Output[j]);0 ^+ E2 S! u8 y+ F! N# ~ Y* l8 e
Upper->Output[i] = (float)(1/(1 + exp(-sum)));* ^: W. V: m7 l+ c' N$ {4 \3 h
}7 U; H& j$ W/ S. h, _) n* f
return;
2 j. }% @( a3 ?* h}0 B& g! C/ M* `7 v0 u$ G& J
0 l# z' t4 }2 b! N) L2 c J
//整个网络所有层间的顺传播; _' D9 O! s& h$ ?
void PropagateNet(NET *Net)
) ~6 g P- S# [{7 A3 [2 r" v w* O
int l;
; k0 E9 G- j* Z4 P2 B for(l=0;l < NUM_LAYERS-1;l++)6 ]) z/ T6 j! Y* A6 ^# Z
PropagateLayer(Net,Net->Layer[l],Net->Layer[l+1]);
7 k# l4 B( `' c8 B return;) e f# o0 ]" K3 s3 Z% D& N4 a+ i
}
* z3 @5 L' S' n$ }" o: x9 Z' z m3 h6 \
//计算输出层误差
" |; G: o- J! `8 i+ R5 H' t0 t- A" X& yvoid ComputeOutputError(NET *Net,float *target)
, m9 {9 @+ ]& Z V; Q+ S* G1 M{
0 F2 G% c4 B( ~ int i;
2 h0 G! M& J/ v, ] float Out,Err;0 ^. W! X3 G* b
for(i=1;i <= Net->Outputlayer->Units;i++)
- B4 n. U/ Q Q {/ W6 l% c+ ^4 s, `+ i' `
Out = Net->Outputlayer->Output[i];& I6 h( k/ O2 v0 @3 a% H5 _' Y; K6 M
Err = target[i-1] - Out;; n2 d1 g$ s, Y- h
Net->Outputlayer->Error[i] = Out*(1-Out)*Err;
1 s2 i( R- `! {" p5 t7 ?) w }. O/ J7 M- D( x5 {
return;
' G5 @+ Q% r; B5 q" _* S& W \}
6 Y' U" M" p7 o- W' y7 }, s, r8 T3 _3 m* N8 b; R. q
//层间逆传播9 w- k" ^* R% F! D9 H# ^, M9 L2 X% _
void BackpropagateLayer(NET *Net,LAYER *Upper,LAYER *Lower)
1 _7 e/ [8 _/ o, q/ L( V{
9 T6 Y" L i- H5 ?7 i/ _! a+ |! e int i,j;+ f& @" p6 Y( D9 y
float Out,Err;
& @7 x4 N3 D0 x& ` for(i=1;i <= Lower->Units;i++)
7 D) E" S, L* a) T+ r {1 U6 A7 }: E6 e* z/ b: R
Out = Lower->Output[i];" ^5 L3 a l9 }1 N& K
Err = 0;4 c ^0 O) S+ R
for(j=1;j <= Upper->Units;j++)' U1 Y s* v9 M' A6 R
Err += (Upper->Weight[j][i] * Upper->Error[j]);
- B% R2 l8 e C+ j; I# u% n5 S, c Lower->Error[i] = Out*(1-Out)*Err;: c7 n( m/ I. q! P# W
}
8 _2 F! D h8 r0 f7 ]9 G0 E return;
& ]4 _$ ?/ R9 ]" ^}7 i! Y' k6 }3 k
0 U1 b. K+ C$ Z9 W; h! p
//整个网络所有层间的逆传播0 n5 ^9 o- p% g
void BackpropagateNet(NET *Net)
8 j0 }% [. |4 h- ~1 [" M }{
6 s* H, _# e: x) E4 M. c int l;
' E* h; f7 F9 r {% f1 Z0 O for(l=NUM_LAYERS-1;l>1;l--)
^ V' l5 }, V9 h2 L: p$ K BackpropagateLayer(Net,Net->Layer[l],Net->Layer[l-1]);
, t0 C J8 {7 n6 i9 D' n) R Z8 N return;* S8 S2 F" P( ]
} n8 d# l; l; o: P9 b% |
! m8 g6 _5 S2 Q9 J8 U' Y8 D! ~//权值调整 W+ e) l1 i$ r& X( K. _3 n
void AdjustWeights(NET *Net)
# r+ W2 u6 k/ s; @5 [- q5 Y: i{
/ J- l) Q7 ~2 E2 [ int l,i,j;! q# h1 i- p! _5 n6 A% O
float Out,Err;# H& n# i0 H9 Q t% T
for(l=1;l<NUM_LAYERS;l++)2 C& _) Y, j5 P2 i# X2 c
for(i=1;i <= Net->Layer[l]->Units;i++): p) g1 l9 i3 N/ g5 |: Z
for(j=0;j <= Net->Layer[l-1]->Units;j++)& W8 x/ B6 J% A& z
{
+ }- Z1 x T5 W Out = Net->Layer[l-1]->Output[j];% W, ~( M1 E P, w
Err = Net->Layer[l]->Error[i];8 @4 M. x$ m0 x# w
Net->Layer[l]->Weight[i][j] += (Net->Eta*Err*Out);
8 ~ K. V& X, L$ D/ X }
: }9 U. Y: u6 m% g return;' `/ P( Y& P, x7 P4 p" f0 X7 g
}4 q5 ?7 u! {7 V$ S5 G3 E
8 H! I4 R& I$ A5 d8 B
//网络处理过程2 c! ~5 e9 W$ p, {
void SimulateNet(NET *Net,float *Input,float *Output,float *target,int TrainOrNot)
1 N% l, ]9 u5 x{
8 Y, ~5 I4 q \. m7 K SetInput(Net,Input); //输入数据8 ]0 y9 M6 {" B" z& k# k! x
PropagateNet(Net); //模式顺传播' P! \0 y, a v; c
GetOutput(Net,Output); //形成输出: P% R; P! [. P! m! I
ComputeOutputError(Net,target); //计算输出误差
( c) S6 c r" }. |7 u if(TrainOrNot)
, S; N0 W1 y. H" W- E3 e. S9 ]& t {2 ]( J3 _6 {' ]( b0 _$ h( U0 I
BackpropagateNet(Net); //误差逆传播" i7 W0 V5 {* k$ U+ k% d) _
AdjustWeights(Net); //调整权值& e/ x7 {+ H+ M5 O; I
}* l+ |( s5 y8 c4 O
return;( \) U+ f @, d- R% T6 i+ u! j6 K
}
" V6 {# g1 V" v0 Q% o$ O
. a/ t2 x7 C8 h$ e; c+ |+ l4 A/ \//训练过程; L2 s" `8 K: ^$ B h$ `5 u
void TrainNet(NET *Net,TRAIN *training)0 }$ p$ |0 B1 t2 u) D3 z$ U% l& C$ @
{
& {- H) s6 P4 z& A$ m W1 u; ^ int l,i,j,k;0 t1 m- F3 c# d, V) M5 p# [
int count=0,flag=0;5 K7 j1 U( K+ p" u+ L! {
float Output[M],outputfront[M],ERR,err,sum;. o& V/ R- L; ?: W
do
- Y$ T- B7 W4 G- o# |& j' g {' q d# A2 T4 x! N
flag = 0;# ~2 N4 g1 d# Q$ r' |7 p( A/ [
sum = 0;3 W9 k5 I* K: Y2 V% F; |
ERR = 0;
( T0 D0 r5 V9 `* O7 a% ?$ }& X if(count >= 1)" t( \' Q7 }8 g, f. X d
for(j=0;j<M;j++)
9 B) J& E* C. \: @0 g outputfront[j]=Output[j];7 b% s+ C6 f. b. Q) r
SimulateNet(Net,(training+(count%NUM))->x,Output,(training+(count%NUM))->y,TRUE);" I# ^ R6 A, ^, _5 T
if(count >= 1)! K. V) C' l. G9 S# E& O8 }
{$ E2 V$ ?. L1 T4 z% s4 `; [2 e
k = count%NUM;2 r" g: @& r& H& h
for(i=1;i <= Net->Outputlayer->Units;i++)% T" b0 V; H* r- S8 R( R
{, W: X$ I! c! J& ~ h( `; ^) |$ l
sum += Net->Outputlayer->Error[i];' s# L8 X# Q) G( i1 V4 O
err = (training+k-1)->y[i-1] - outputfront[i-1];
. a' F' N( Z: d ERR += (outputfront[i-1] * (1 - outputfront[i-1]) * err);
& V# I a! u8 i) q }! Q2 k+ _/ h1 r4 F4 ?5 q# V
if(sum <= ERR)' [+ D j: a0 x8 l; M0 p
Net->Eta = (float)(0.9999 * Net->Eta);) o' m) o( T' _2 T- Y0 d
else
- B# T' J0 B$ g9 M" A Net->Eta = (float)(1.0015 * Net->Eta);( x5 R D# u" F' m$ j) }! {2 J
3 N( ^* d* ~# U: l( p4 I* O' v, p
} P; o9 Y/ v/ m% d( v
if(count >= NUM)
$ {+ |- s1 l+ Q; i {
7 E2 w2 T0 |1 d& r for(k=1;k <= M;k++)# y, U& h d( A; n# x3 I/ c* F0 E
if(Net->Outputlayer->Error[k] > Net->Error)1 Y& f+ z0 F1 X
{ flag=1; break; }2 e1 P# w& l4 K1 A. l
if(k>M)
; I- F9 K1 b7 n! a. o flag=0;
2 M1 {8 w: l( _3 _ }
% N8 N+ S6 |, d4 S g* Q count++;
/ D: H& U. |9 ?' R( U8 |7 q! q }while(flag || count <= NUM);
( n4 T9 a j/ m. f3 ^- U; U6 K fprintf(fp,"\n\n\n");6 m5 Z1 {0 U; J. D3 d- w" q
fprintf(fp,"--training results ... \n");
5 o* w& [/ j# u6 @7 c: o fprintf(fp,"training times: %d\n",count);
* U# G+ B' O Q6 L2 G8 b: O! d fprintf(fp,"\n*****the final weights*****\n");
$ x. @6 u3 v; h9 t( I+ `: s% I for(l=1;l<NUM_LAYERS;l++)
1 w) Q. c7 Q9 K1 Z( { L6 i {
+ ]) R$ P) O" G- R) J for(i=1;i <= Net->Layer[l]->Units;i++)4 v0 T( T& z; A% j/ r; l% v
{! v# O6 W( f' v7 D1 g0 |$ y
for(j=1;j <= Net->Layer[l-1]->Units;j++)
: G& f9 j+ F9 G0 Z fprintf(fp,"%15.6f",Net->Layer[l]->Weight[i][j]);
3 |3 x |* O. B1 M fprintf(fp,"\n");
8 c& l( ~# z c6 D9 w4 C }
3 G+ M$ |9 ?* l: {; n% S; P. ?6 u fprintf(fp,"\n\n");
) B ]& a, D& q* C }
1 O6 P4 b9 p4 T7 G, u. T" Z}9 O( V# w" ^6 X# D0 t& \, F1 v
! K: J7 p4 `7 u6 w+ E//评估过程
' M7 ?3 |6 [- E9 hvoid EvaluateNet(NET *Net)
* p; Y3 b/ {( }3 C5 v! s/ {{
6 p. ~9 m$ J2 d' @ int i;5 w9 D) M9 r v% q7 ]2 Y
printf("\n\n(");
1 `- j) }' d2 S* x fprintf(fp,"\n\n(");
, R+ {* _& |. Y5 m( i& k; ~0 F$ j8 d for(i=1;i <= Net->Inputlayer->Units;i++)6 R- W" n: B' ]& }4 I3 }
{
" s8 r" g/ v3 Z printf(" %.4f",Net->Inputlayer->Output[i]); p8 |' r F# Q }" ]' K& e
fprintf(fp,"%10.4f",Net->Inputlayer->Output[i]);1 Z6 u# ~# H4 z7 Z4 t3 ?
}7 a& t1 R3 s; p4 g2 t" j$ t
printf(")\t");1 Q! C4 H8 G- |
fprintf(fp,")\t");
1 D ]: P3 v5 L% n; P for(i=1;i <= Net->Outputlayer->Units;i++)
- O& M1 H& P8 u6 k! u; V' D: T {: s% M) t3 D, w8 t
if(fabs(Net->Outputlayer->Output[i] - 1.0) <= 0.0499)
5 j: m, \% D4 R9 e3 O3 j1 ~ {# I: ~! E" q0 ?+ Y( |1 y
printf("肯定是第 %d 类, ",i);
( N& A0 R/ j8 r8 E' c fprintf(fp,"肯定是第 %d 类, ",i);
V; F' t$ t+ @, J! \& k; X. X }
( o/ v8 w) F2 G9 \" \( V1 W8 y if(fabs(Net->Outputlayer->Output[i] - 0.9) <= 0.0499)5 T; x/ }5 p) x- q
{4 s: i" y$ P$ E: s# Z. {$ d
printf("几乎是第 %d 类, ",i);+ A g [) \, K& f f& C
fprintf(fp,"几乎是第 %d 类, ",i); r2 z; h( z' L1 c. p: f
}8 S' l; y$ F8 N
if(fabs(Net->Outputlayer->Output[i] - 0.8) <= 0.0499)( I. B; C+ O) [: r' ` T' d* |
{2 o* X. t9 t# @, m- v
printf("极是第 %d 类, ",i);$ }+ g' k7 H0 x0 x% y2 ]3 a" o9 K
fprintf(fp,"极是第 %d 类, ",i);
7 n' p3 A: C- A2 y }
& w. }8 Y9 S) d7 Z; s" ^6 U! J1 z if(fabs(Net->Outputlayer->Output[i] - 0.7) <= 0.0499)
% p1 C6 u$ X+ q! D6 b& I0 | {5 \+ f' Y& z4 ^! r. `+ D
printf("很是第 %d 类, ",i);( }: n7 K9 C# t! A
fprintf(fp,"很是第 %d 类, ",i);
3 [/ ]7 d" c3 D6 _ }
0 z5 o; [8 a4 h1 c: i" S if(fabs(Net->Outputlayer->Output[i] - 0.6) <= 0.0499)) ?+ t6 A0 [: t4 o7 ~" o' V5 z
{
+ |/ }7 _) s# U: L. N) U; v+ D printf("相当是第 %d 类, ",i); [# S+ M a4 e5 q1 F: H
fprintf(fp,"相当是第 %d 类, ",i);
0 I; h {* R: F+ K. {0 a }
" U! @( {& \8 h; M6 P, h: Y: U if(fabs(Net->Outputlayer->Output[i] - 0.5) <= 0.0499); G6 u& i# k$ }) A; K6 r3 e
{
* w( |8 |: l' H9 f" E& v printf("差不多是第 %d 类, ",i);
% e. B# ]( l+ e9 s fprintf(fp,"差不多是第 %d 类, ",i);
3 w) `6 R' ~! b8 Q }
. S( ` \+ e& d; o( I9 S* E) z if(fabs(Net->Outputlayer->Output[i] - 0.4) <= 0.0499)
+ E3 M( Q& s1 {. s. y2 J {3 Y9 Q2 k* _! z/ w8 i: u
printf("比较像是第 %d 类, ",i);+ F. z* D" p& @# @
fprintf(fp,"比较像是第 %d 类, ",i);2 D! o$ ]1 h6 Q! d* R. S( D; Y
}/ u5 {/ }7 U& ?& u ~4 z
if(fabs(Net->Outputlayer->Output[i] - 0.3) <= 0.0499)
; o) u1 f/ z- K# r: {- n {( X& C# R5 W6 O0 p
printf("有些像是第 %d 类, ",i);. F0 N4 j) d3 J R3 X3 P6 D
fprintf(fp,"有些像是第 %d 类, ",i);+ I+ L# j' K* i8 v6 ^
}
3 ]+ M, O2 V2 ^' R if(fabs(Net->Outputlayer->Output[i] - 0.2) <= 0.0499)
/ q5 M2 a f8 `; F e0 U ^ {
5 w. k+ I" W _( a7 o R1 P printf("有点像是第 %d 类, ",i);
8 `6 L7 p3 K6 \! g fprintf(fp,"有点像是第 %d 类, ",i);
$ D. F" `! W( [ Z T) u1 Y }
! q* q4 ?/ n0 z9 }% d( n( o0 f if(fabs(Net->Outputlayer->Output[i] - 0.1) <= 0.0499)
& B. i2 E+ p$ `( n: _8 E {
) N* r$ y) X9 @+ }% @' z6 ? printf("稍稍像是第 %d 类, ",i);# }& {* p5 U. {
fprintf(fp,"稍稍像是第 %d 类, ",i);
/ ^6 e; a7 _: l1 J' _ }
6 P4 n% X) U$ u1 X& M ? if(Net->Outputlayer->Output[i] <= 0.0499)" |' S: X$ `7 }+ x/ E# V
{& {% }9 J }) y+ E# I
printf("肯定不是第 %d 类, ",i);/ H, I: n3 F) p% l1 p$ m. d5 d/ ^
fprintf(fp,"肯定不是第 %d 类, ",i);6 }) @$ S6 q1 V5 @4 m8 G1 ^
}
, I' t( p! h4 `1 g# U; S }, ~6 {8 p. o/ H" J& d* f
printf("\n\n");
8 X+ M* \* }5 `' x; `0 f fprintf(fp,"\n\n\n");
# s* J* |% L4 p3 O, `$ j return;
0 s! T0 }1 b, Y; {( Z. M7 F5 F}3 T J$ K" G5 J: u8 A7 D8 f5 X, Q
4 n& i- ~- p7 Y0 R//测试过程
A+ j8 v# i- ^2 U- k) N3 Hvoid TestNet(NET *Net)) ]1 C+ [, g z8 u; M
{4 L/ t* s0 \1 W4 F' h9 e- I& B% F
TRAIN Testdata;' v0 n# m, e) Y2 P/ P) i
float Output[M];
0 N4 c& V4 h. K7 D7 ~1 ~9 X int i,j,flag=0;5 Z; r5 _4 u1 V7 I O1 a
char select;6 B1 f* y+ f5 R9 G7 {+ u t
fprintf(fp,"\n\n--Saving test datas ...\n");
, F4 D0 Q# ^0 u4 Z1 i do! W" }: k5 Y& x! B) C/ i
{
; ^- s- C- a" p4 N* L( U% u! b printf("\n请输入测试数据(x1,x2,x3,x4,x5,y): \n");0 o9 E! v m9 h2 O6 @+ B7 Z) I
for(j=0;j<N;j++)$ P4 Q. r. |8 Q, I9 c- t- m: t; {
{! h& H+ l, H2 Q5 J" _2 C
scanf("%f",&Testdata.x[j]);1 L0 f( f. h5 ~) Q
fprintf(fp,"%10.4f",Testdata.x[j]);
& ]8 _) X1 W; `! q+ Q* o A }3 N: ]6 @ m X+ n4 K7 k# n( o$ X/ ]
for(j=0;j<M;j++)+ a. y K) `# H' n& y' x% {; h
{9 B) z! C4 C9 |( e
scanf("%f",&Testdata.y[j]);
2 t; U- `9 w4 r z$ X fprintf(fp,"%10.4f",Testdata.y[j]);
* u" q) j* I$ m, u3 A }. e q: H5 m) @2 A! d
fprintf(fp,"\n");( J7 |# @$ K7 j$ i/ K& f
SimulateNet(Net,Testdata.x,Output,Testdata.y,FALSE);& n A6 ~7 [! l2 }' z
fprintf(fp,"\n--NET Output and Error of the Test Data ....\n");
9 R5 v, N+ j3 u0 m3 N! @ for(i=1;i <= Net->Outputlayer->Units;i++)
9 i! R5 g/ Y6 @9 s) a fprintf(fp,"%10.6f %10.6f\n",Net->Outputlayer->Output[i],Net->Outputlayer->Error[i]);
0 [- W: L2 R9 `/ @1 r0 J/ C EvaluateNet(Net);
7 h6 q$ e' k/ E, V printf("\n继续测试?(y/n):\n");# G" {* B" K5 ]% t' g
getchar();
" j+ {4 c; P k0 F, @# D Q scanf("%c",&select); X' L4 _) q2 f4 Y- m* Q/ r
printf("\n");5 K; p0 f4 E, L, i- |. ]4 }
if((select == 'y')||(select == 'Y'))
0 X+ W Y# Q) Y' l' K, T flag = 1;
4 A" V5 d3 v# u5 b( C% } else6 Y0 ?) h' l5 S6 K f) c+ u
flag=0;
/ r5 t8 M! l# T/ x }while(flag);
8 j- O# L( B. z6 b5 w7 U( N9 u2 u return;/ ]+ D& m& X! t3 ~; K" ?2 p
}: J& x# R* @1 p$ _2 U. E
: ?- \/ S6 X# L# p5 B+ l1 f
2 _3 Q1 R$ Z- ?) H0 g$ o3 B
void OUTPUT(NET *Net)
! k% o( y- C" g: j) a2 u{8 @* j9 C( K* k7 B4 V) P
float a[NUM_LAYERS][9]={0.0};
& c6 N) n4 D# W7 f+ ` float b[NUM_LAYERS][9]={0.0};% U' L5 J3 a0 ?
float sum1[NUM_LAYERS][9]={0.0};
$ c7 R0 }8 K0 n. `, V float sum2[NUM_LAYERS][9]={0.0};;
, Q6 f; r6 U; g6 X3 }9 y float test[N];
8 @$ e8 x7 p7 R( `# B0 ] //int i,j,k;$ @5 Z3 I8 z' G" C' E' D6 U, o- K
fprintf(fp,"\n\n--true input datas ...\n");/ h2 L- ]1 {$ }$ [. 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");
5 F) Y0 D/ G* K5 Z for(int i=0;i<N;i++)7 S$ o* v; Y2 Q$ b# d8 Z
{
- i) U- u% P8 @ scanf("%f",&test[i]);
/ p& c( J1 h7 m$ P5 y1 M4 n fprintf(fp,"%10.4f",test[i]);- ~2 k, W5 a$ ?% |9 B. |! b
}" Q' X7 [4 ~( H8 w; E
9 t5 y6 S; J, l: R
& S' o) B& P9 ^# m& V
for(int l=1;l<NUM_LAYERS;l++)
8 E o4 t6 |6 C: V1 U {
8 P) {( c8 f1 f/ d& Z if(l==1)
9 f3 m# |) x2 |4 c" ?- P {3 w2 S n$ t- l/ H& T D9 M
for(int i=1;i <= Net->Layer[l]->Units;i++)
3 C2 Z6 ]# @* c {
$ c$ k$ T4 P' K4 f% V7 E for(int j=1;j <= Net->Layer[l-1]->Units;j++)
6 x& ~; O% h: \$ V (float)sum1[l][i-1]+=test[j-1]*Net->Layer[l]->Weight[i][j];
- I s! i! }3 r5 J9 E4 c (float)a[l][i-1]=1/(1+exp(-sum1[l][i-1]));' _! \+ U% P6 \2 k D$ o2 a4 y
}
0 q# ~" }. ^0 @) G5 g2 A printf("\n");
+ |0 r1 @8 |. R: _* J' Y }0 [: f; C6 E2 d5 i# e! u( B
7 {( X. s$ s- p9 a& s
if(l==2); ] A t% O: K5 y8 i/ a) X
{
$ o p# k# I. f% \) K0 r for(int i=1;i <= Net->Layer[l]->Units;i++)5 q) r' s: c- l. |$ U) q
{
4 I8 A" m0 B+ q4 V for(int j=1;j <= Net->Layer[l-1]->Units;j++)
7 J5 w' D, J& N7 t$ {, J1 T( v& Z (float)sum1[l][i-1]+=a[l-1][j-1]*Net->Layer[l]->Weight[i][j];7 s: _/ _8 h ^$ w5 U
(float)a[l][i-1]=1/(1+exp(-sum1[l][i-1]));3 A+ K* ~/ B' I$ b" v: U
printf("%f\t",a[l][i-1]);3 C9 `! ~6 U: Y9 s
}
7 B1 b- n; V& G0 u7 K; k }: M& b% [; G' ^/ E# \9 R
}+ }9 c; c8 E% |. u7 o/ o: F9 b
}
1 }$ N2 `" I/ y4 ^" I
. l$ r* p* q9 K9 v' d1 }' z: x
9 ]) f2 J5 [4 U3 A7 Z9 R% ~+ a//主函数( k8 e5 j3 ^. ]
void main()
7 v$ z9 X1 d* F, ]% G5 i8 E% _{. l* S: H& D0 Y/ ]" v
TRAIN TrainingData[NUM];" ]; n+ H+ b& b D+ g
NET Net;
% a/ F) b. Z$ I. R5 G InitializeRandoms(); //初始化伪随机数发生器
; l |9 {& |& U# ^0 l4 N GenerateNetwork(&Net); //建立网络
1 p9 m4 v8 f( z L- S! H RandomWeights(&Net); //形成初始权值2 m4 E; Q/ Z5 o' ?7 P5 Z! V& \
InitializeApplication(&Net); //应用程序初始化,准备运行 q- J' r0 {( g0 p6 ~( T1 \+ O
InitializeTrainingData(TrainingData); //记录训练数据
3 K. t% g, n! P# f# k5 ?) a TrainNet(&Net,TrainingData); //开始训练; L9 P' k; h# v4 t/ _% c/ F* s
TestNet(&Net);
# I% N' i6 k' V( }& Y OUTPUT(&Net);
7 L A4 l' z- ~4 M D FinalizeApplication(&Net); //程序关闭,完成善后工作$ ]' @5 z6 B8 ?" J" Q7 I( n5 u% \* g
return;% M- A. N: x0 {7 Y# ]5 G0 W. e
}6 E* l/ ^' h, r. N, E: }1 i" l
& j2 `: E, u% m _( R0 `4 [7 o9 @* y( o8 a9 E- z4 H( v! e
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