/**
* Test of the library
*/
int
main(int argc, char **argv)
{
double in[32];
double out[12];
int i;
mlp_neural_network_t *n;
int ls[] = { 16, 512, 8 };
n = mlp_new(ls, 3);
n->transf_func = &sigmodial;
n->transf_func_derivate = &sigmodial_derivate;
mlp_set_learning_rate(n, 0.6);
//char string[12];
long long string = 0;
//for(i = 0; i < 12; i++)
// string[i] = 0;
//printf("%d\n", sizeof(string));
for(i = 0; i < 10000; i++)
{
int j;
char md5[16];
string++;
//MD5((char *) &string, 8, md5);
char string2[32];
strcpy(string2, "ciaooooo");
MD5((char *) &string2, 8, md5);
printf("%lld - \n", string);
//for(j = 0; j < 16; j++)
// printf("%x", (unsigned char) md5[j]);
//printf("\n");
str2double((char *) &md5, 16, in);
str2double((char *) &string, 8, out);
mlp_back_propagate(n, in, out);
}
// Facciamo un test
char test[] = "ciaooooo";
char md5[16];
MD5((char *) &test, 8, md5);
str2double((char *) md5, 16, in);
mlp_execute(n, in, out);
char output_s[20];
double2str(out, 8, output_s);
printf("\n\t");
//for(i = 0; i < 8; i++)
// printf("'%lf' ", out[i]);
//printf("\n");
printf("'%s' - ", output_s);
for(i = 0; i < 8; i++)
printf("'%c' ", output_s[i]);
printf("\n");
mlp_delete(n);
return 0;
}
/* Create the network */
void
new_do_cb()
{
int i;
int l[3];
l[0] = gtk_spin_button_get_value_as_int(GTK_SPIN_BUTTON(input_spin));
l[1] = gtk_spin_button_get_value_as_int(GTK_SPIN_BUTTON(hidden_spin));
l[2] = gtk_spin_button_get_value_as_int(GTK_SPIN_BUTTON(output_spin));
nn = mlp_new(l, 3);
nn->transf_func = &heavyside;
nn->transf_func_derivate = &heavyside_derivate;
nn->learning_rate = gtk_spin_button_get_value_as_float(GTK_SPIN_BUTTON(learning_spin));
gtk_mlp_set_network(GTK_MLP(mlp), nn);
// Add the input boxes in the main window
neural_input = (GtkWidget **) malloc(sizeof(GtkWidget *) * l[0]);
neural_output = (GtkWidget **) malloc(sizeof(GtkWidget *) * l[2]);
gtk_box_pack_start(GTK_BOX(entry_box),gtk_label_new("Input values"),FALSE,FALSE,0);
for(i = 0; i < l[0]; i++)
{
char str_c[16];
sprintf(str_c, "Neuron %d ", i);
GtkWidget *tmp_box = gtk_hbox_new(0, 0);
neural_input[i] = gtk_spin_button_new(
GTK_ADJUSTMENT(
gtk_adjustment_new((nn->input[i]).value, 0.0, 1.0, 0.02, (nn->input)[i].value, 0.1)),
1.0, 2);
gtk_box_pack_start(GTK_BOX(tmp_box),gtk_label_new(str_c),FALSE,FALSE,0);
gtk_box_pack_start(GTK_BOX(tmp_box),neural_input[i],TRUE,TRUE,0);
gtk_box_pack_start(GTK_BOX(entry_box),tmp_box,FALSE,FALSE,0);
gtk_widget_show_all(window);
}
gtk_box_pack_start(GTK_BOX(entry_box),gtk_label_new("Output values"),FALSE,FALSE,0);
for(i = 0; i < l[2]; i++)
{
char str_c[16];
sprintf(str_c, "Neuron %d ", i);
GtkWidget *tmp_box = gtk_hbox_new(0, 0);
neural_output[i] = gtk_spin_button_new(
GTK_ADJUSTMENT(
gtk_adjustment_new((nn->output)[i].value, 0.0, 1.0, 0.02, (nn->output)[i].value, 0.1)),
1.0, 2);
gtk_box_pack_start(GTK_BOX(tmp_box),gtk_label_new(str_c),FALSE,FALSE,0);
gtk_box_pack_start(GTK_BOX(tmp_box),neural_output[i],TRUE,TRUE,0);
gtk_box_pack_start(GTK_BOX(entry_box),tmp_box,FALSE,FALSE,0);
gtk_widget_show_all(window);
}
gtk_statusbar_push(GTK_STATUSBAR(status_bar), 0, "Network created.");
// Destroy the window
gtk_widget_destroy(new_w);
}
struct mlp *
build_mlp (void)
{
return mlp_new (6, 4, 6, 8, 16, LAYER_MLP_OUTPUT_COUNT);
}
