📄 nninputs.c
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/*-----------------------------------------------------------------------*
* Greg Stevens 6/24/93 *
* nninputs.c *
* [file 2 in a series of 6] *
* *
* This file contains parameters for the input patterns to be used by a *
* neural net. This file specifies a type PATTERNtype which is a struct *
* which contains an array of number of patterns by number of elements *
* per pattern. The number of elements per pattern is equal to *
* INPUT_LAYER_SIZE, and the number of input patterns is specified as a *
* constant at the beginning of this file and can be modified by the user*
* as long as the data file nninputs.dat contains that number of input *
* blocks. This file also specifies the function InitPatterns for *
* getting the patterns from the file and putting them into a variable of*
* type PATTERNtype. *
* *
*-----------------------------------------------------------------------*/
#include "stdio.h"
#include "nnparams.c" /* for net constants*/
#define NUM_PATTERNS 72 /*number input pat's*/
typedef struct
{
float p[ NUM_PATTERNS ][ MAXNODES ];
} PATTERNtype;
/* Function Prototype */
PATTERNtype InitInPatterns( int t );
/* Function Definition */
PATTERNtype InitInPatterns( int t )
{
FILE *InFile; /*file w/ pattern*/
/*data */
PATTERNtype patns; /*stores patterns*/
float val; /*pattern value */
int P,U; /*loop variables */
if (t==0)
InFile = fopen( "nninputs.dat", "rt" ); /*open: read text*/
else if (t==1)
InFile = fopen( "nnintest.dat", "rt" );
if ( InFile==NULL ) /* if no file... */
{
printf( "File nninputs.dat does not exist!\n" ); /*error message */
return( patns ); /*leaves function*/
}
for (P=0; (P<NUM_PATTERNS); ++P) /* for each pattern.... */
for (U=0; (U<INPUT_LAYER_SIZE); ++U) /* for each unit in it:*/
{
fscanf( InFile, "%f", &val );
patns.p[P][U] = val;
}
fclose( InFile );
return( patns );
}
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