?? cpn.c
字號:
/******************************************************************************
==========================
Network: Counterpropagation Network
==========================
Application: Vision
Determination of the Angle of Rotation
Author: Karsten Kutza
Date: 30.4.96
Reference: R. Hecht-Nielsen
Counterpropagation Networks
Proceedings of the IEEE International Conference on
Neural Networks, II, IEEE Press, New York, NY, pp. 19-32,
1987
******************************************************************************/
/******************************************************************************
D E C L A R A T I O N S
******************************************************************************/
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
typedef int BOOL;
typedef char CHAR;
typedef int INT;
typedef double REAL;
#define FALSE 0
#define TRUE 1
#define NOT !
#define AND &&
#define OR ||
#define MIN_REAL -HUGE_VAL
#define MAX_REAL +HUGE_VAL
#define MIN(x,y) ((x)<(y) ? (x) : (y))
#define MAX(x,y) ((x)>(y) ? (x) : (y))
#define LO 0
#define HI 1
#define PI (2*asin(1))
#define sqr(x) ((x)*(x))
typedef struct { /* A LAYER OF A NET: */
INT Units; /* - number of units in this layer */
REAL* Output; /* - output of ith unit */
REAL** Weight; /* - connection weights to ith unit */
BOOL* Winner; /* - marker for winning instar */
} LAYER;
typedef struct { /* A NET: */
LAYER* InputLayer; /* - input layer */
LAYER* InstarLayer; /* - instar layer */
LAYER* OutstarLayer; /* - outstar layer */
INT Winners; /* - allowed number of winning instars */
REAL Alpha; /* - hidden layer learning rate */
REAL Beta; /* - output layer learning rate */
} NET;
/******************************************************************************
R A N D O M S D R A W N F R O M D I S T R I B U T I O N S
******************************************************************************/
void InitializeRandoms()
{
srand(4711);
}
INT RandomEqualINT(INT Low, INT High)
{
return rand() % (High-Low+1) + Low;
}
/******************************************************************************
A P P L I C A T I O N - S P E C I F I C C O D E
******************************************************************************/
#define NUM_DATA 8
#define X 11
#define Y 11
#define N (X * Y)
#define C NUM_DATA
#define M 2
CHAR Pattern[NUM_DATA][Y][X] = { { " ",
" ",
" O ",
" O ",
" OOO ",
" OOO ",
" OOO ",
" OOOOO ",
" OOOOO ",
" ",
" " },
{ " ",
" ",
" O ",
" O ",
" OOO ",
" OOO ",
" OOO ",
" OOOOO ",
"OOOOO ",
" ",
" " },
{ " ",
" ",
" ",
" OO ",
" OOOOO ",
" OOOOOOO ",
" OOOOO ",
" OO ",
" ",
" ",
" " },
{ " ",
" ",
"OOOOO ",
" OOOOO ",
" OOO ",
" OOO ",
" OOO ",
" O ",
" O ",
" ",
" " },
{ " ",
" ",
" OOOOO ",
" OOOOO ",
" OOO ",
" OOO ",
" OOO ",
" O ",
" O ",
" ",
" " },
{ " ",
" ",
" OOOOO",
" OOOOO ",
" OOO ",
" OOO ",
" OOO ",
" O ",
" O ",
" ",
" " },
{ " ",
" ",
" ",
" OO ",
" OOOOO ",
" OOOOOOO ",
" OOOOO ",
" OO ",
" ",
" ",
" " },
{ " ",
" ",
" O ",
" O ",
" OOO ",
" OOO ",
" OOO ",
" OOOOO ",
" OOOOO",
" ",
" " } };
CHAR Pattern_[NUM_DATA][Y][X] = { { " ",
" ",
" O ",
" O ",
" O ",
" OOO ",
" OOO ",
" OOO ",
" OOOOO ",
" ",
" " },
{ " ",
" ",
" O ",
" O ",
" O O ",
" O O ",
" O O ",
" O O ",
" O O ",
" ",
" " },
{ " ",
" ",
" ",
" O ",
" OOO ",
" OOO ",
" OOO ",
" OOOOO ",
" ",
" ",
" " },
{ " ",
" ",
" ",
" ",
" O ",
" O ",
" O ",
" OOO ",
" ",
" ",
" " },
{ " ",
" O ",
" O ",
" O ",
" OOO ",
" OO ",
" OOO O",
" OOOO ",
" OOOOO ",
" ",
" O " },
{ " ",
" ",
" O ",
" O ",
" OOO ",
" OOO ",
" OOO ",
" OOOOO ",
" OOOOO ",
" ",
" " },
{ " ",
" ",
" O ",
" O ",
" OOO ",
" OOO ",
" OOO ",
" OOOOO ",
" OOOOO ",
" ",
" " },
{ " ",
" ",
" O ",
" O ",
" OOO ",
" OOO ",
" OOO ",
" OOOOO ",
"OOOOO ",
" ",
" " } };
REAL Input [NUM_DATA][N];
REAL Input_[NUM_DATA][N];
REAL Output[NUM_DATA][M];
FILE* f;
void NormalizeInput()
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