- use custom noise for bugfixing

- init weights with zero mean uniform noise

git-svn-id: http://moon:8086/svn/software/trunk/projects/Rbm@598 b431acfa-c32f-4a4a-93f1-934dc6c82436
This commit is contained in:
2019-10-29 07:00:59 +00:00
parent 595be173b1
commit a061fdf0da
5 changed files with 147 additions and 14 deletions
+80
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// --------------------------------------------------------------
// --------------------------------------------------------------
#include <string.h>
#include <stdlib.h>
#include <time.h>
#include <math.h>
#include "noise.h"
// --------------------------------------------------------------
// internal funcs
// --------------------------------------------------------------
#define PM_IA 16807
#define PM_IM 2147483647
#define PM_AM (1.0/PM_IM)
#define PM_IQ 127773
#define PM_IR 2836
#define PM_MASK 123459876
// 'Minimal' random number generator of Park and Miller. Returns a uniform random deviate
// between 0.0 and 1.0. Set or reset idum to any integer value (except the unlikely value MASK)
// to initialize the sequence; idum must not be altered between calls for successive deviates in
// a sequence.
double ran0(long *idum)
{
long k;
double ans;
*idum ^= PM_MASK; // XORing with MASK allows use of zero and other
k=(*idum)/PM_IQ; // simple bit patterns for idum.
*idum=PM_IA*(*idum-k*PM_IQ)-PM_IR *k; // Compute idum=(IA*idum) % IM without over-
// flows by Schrages method.
if (*idum < 0)
*idum += PM_IM;
ans=PM_AM*(*idum); // Convert idumto a floating result.
*idum ^= PM_MASK; // Unmask before return.
return ans;
}
// --------------------------------------------------------------
// Exported functions
// --------------------------------------------------------------
void Noise_Init(noise_gen_t *pObj, long seed)
{
pObj->state = seed;
}
void Noise_Free(noise_gen_t *pObj)
{
}
// 0 .. 1
double Noise_Uniform(noise_gen_t *pObj)
{
return ran0(&pObj->state);
}
double Noise_Gaussian(noise_gen_t *pObj)
{
double U1, U2, V1, V2, S, Y;
do
{
U1 = Noise_Uniform(pObj); // U1=[0,1]
U2 = Noise_Uniform(pObj); // U2=[0,1]
V1 = 2 * U1 - 1; // V1=[-1,1]
V2 = 2 * U2 - 1; // V2=[-1,1]
S = V1 * V1 + V2 * V2;
} while (S >= 1);
// X = sqrt(-2 * log(S) / S) * V1;
Y = sqrt(-2 * log(S) / S) * V2;
return Y;
}