map* init_map(int sideX, int sideY, int scale){
int x, y;
unsigned int i, count = 0;
int aux = 0;
unsigned int n;
void **word_adresses;
word *pt_aux = malloc(sizeof(word));;
map *_map = malloc(sizeof(map));
_map->latice_size = sideX * sideY;
_map->sideX = sideX;
_map->sideY = sideY;
_map->scale = scale;
_map->lattice = malloc(_map->latice_size * sizeof( neuron));
mt_seed ();
if ((n = get_list(pt_aux)))
{
printf("n: %d\n", n);
word_adresses = malloc(n * sizeof(void *));
while (pt_aux != NULL)
{
x = mt_rand() %sideX;
y = mt_rand() %sideY;
init_neuron(_map->lattice, x, y, pt_aux->frames, pt_aux->n, pt_aux->name);
word_adresses[count++] = pt_aux;
pt_aux = pt_aux->next;
}
printf("count: %d\n", count);
for (i = 0; i < count; i++)
free(word_adresses[i]);
free(word_adresses);
}
return _map;
}
void nn_init( int ninput,
int noutput,
int nhidden,
double (*hidden_act)(double),
double (*hidden_actp)(double),
double (*output_act)(double),
double (*output_actp)(double),
double learnrate,
neural_network_t *out_nn )
{
out_nn->nil = ninput;
out_nn->nhl = nhidden;
out_nn->nol = noutput;
out_nn->il = new neuron_t[ninput];
out_nn->hl = new neuron_t[nhidden];
out_nn->ol = new neuron_t[noutput];
out_nn->learn_rate = learnrate;
neuron_t *n1,*n2;
// TODO: currently bias is always 0,
// may want to change this in the
// future
for ( int i = 0; i < ninput; i++ )
{
n1 = &out_nn->il[i];
init_neuron( n1, 0, nhidden );
// do not specify an activation
n1->act = 0;
n1->actp = 0;
n1->b = 0;
}
for ( int i = 0; i < nhidden; i++ )
{
n1 = &out_nn->hl[i];
init_neuron( n1, ninput, noutput );
n1->act = hidden_act;
n1->actp = hidden_actp;
n1->b = 0;
}
for ( int i = 0; i < noutput; i++ )
{
n1 = &out_nn->ol[i];
init_neuron( n1, nhidden, 0 );
n1->act = output_act;
n1->actp = output_actp;
n1->b = 0;
}
// hook up all the neurons
for ( int i = 0; i < ninput; i++ )
{
n1 = &out_nn->il[i];
for ( int j = 0; j < nhidden; j++ )
{
n2 = &out_nn->hl[j];
n1->y[j] = n2;
}
}
for ( int i = 0; i < nhidden; i++ )
{
n1 = &out_nn->hl[i];
for ( int j = 0; j < ninput; j++ )
{
n2 = &out_nn->il[j];
n1->x[j] = n2;
}
for ( int j = 0; j < noutput; j++ )
{
n2 = &out_nn->ol[j];
n1->y[j] = n2;
}
}
for ( int i = 0; i < noutput; i++ )
{
n1 = &out_nn->ol[i];
for ( int j = 0; j < nhidden; j++ )
{
n2 = &out_nn->hl[j];
n1->x[j] = n2;
}
}
}
