shithub: util

Info  •  Files  •  Log  •  Branches

back to sigmoid output

--- a/ann.c

+++ b/ann.c

@@ -125,17 +125,19 @@

 double

 activation_piece(Neuron *in)

 {

-	if (in->sum < 0.0)

+	if (in->sum < -0.5)

 		return 0.0;

-	else if (in->sum > 1.0)

+	else if (in->sum > 0.5)

 		return 1.0;

-	return in->sum;

+	return (in->sum + 0.5);

 }

 double

-gradient_piece(Neuron*)

+gradient_piece(Neuron *in)

 {

-	return 1.0;

+	if (in->sum > -0.5 && in->sum < 0.5)

+		return 1.0;

+	return 0.01;

 }

 Weights*

@@ -281,7 +283,7 @@

 		if (i < (num_layers-1))

 			ret->layers[i] = layercreate(arg, ACTIVATION, GRADIENT);

 		else

-			ret->layers[i] = layercreate(arg, activation_piece, gradient_piece);

+			ret->layers[i] = layercreate(arg, activation_sigmoid, gradient_sigmoid);

 		if (i > 0) {

 			ret->weights[i-1] = weightscreate(ret->layers[i-1]->n, ret->layers[i]->n, 1);

 			ret->deltas[i-1] = weightscreate(ret->layers[i-1]->n, ret->layers[i]->n, 0);

@@ -847,11 +849,11 @@

 				if (trainline == 0) {

 					runoutput = annrun(ann, input);

 					for (i = 0; i < noutput; i++)

-						if (runoutput[i] == 0.0)

+/*						if (runoutput[i] == 0.0)

 							print("0%c", (i == (noutput-1))? '\n': ' ');

 						else if (runoutput[i] == 1.0)

 							print("1%c", (i == (noutput-1))? '\n': ' ');

-						else

+						else */

 							print("%f%c", runoutput[i], (i == (noutput-1))? '\n': ' ');

 					free(runoutput);

 				}