stdnet.h

GENETIC ALGORITHM FOR NEURAL NETWORKS ON TRANSPUTERS (Source code and Reference)

/* Declarations for standard 2 layer networks */

#ifndef STDNET_H
#define STDNET_H

#include "defs.h"

char *StdOptStr();
char *StdUsage();
char StdName[80];

/* These and Nin,Nhid,Nout,Ntrain are to be defined */
/* in initStd() */

int Nbits;	/* bits for bias and weights (gen.alg.) */
float Width;	/* weights in [-Width,Width] */

int handleStdOpt(char opt,char* arg);
int initStd();
void initTrain();

/* Standard Decoding */

int OffW1,OffW2,IncW1,IncW2,OffLR,OffIM;
float FGmult,FGadd;
int FGmax;

float *grey2float;
float *grey2lrate;
float *grey2imp;
word *int2grey;

int initDecoding();

#define Nlrate	8
#define Nimp	8
#define Llrate	0.02
#define Hlrate	20.0
#define Limp	0.0
#define Himp	0.95

#define decode(x,i,n) grey2float[getbits(x,i,n)]
#define weight1(x,i,h) decode(x,IncW1*h+Nbits*i,Nbits)
#define weight2(x,h,o) decode(x,OffW2+IncW2*o+Nbits*h,Nbits)
#define bias1(x,h) weight1(x,Nin,h)
#define bias2(x,o) weight2(x,Nhid,o)
#define lrate(x) grey2lrate[getbits(x,OffLR,Nlrate)]
#define imp(x) grey2imp[getbits(x,OffIM,Nimp)]
#define float2int(x) ((int)(x*FGmult+FGadd))

#define sigma(y)	1/(1+exp(-(y)))


#endif