[ENH] added a possibility to alter the indexing of weights in the connection object

src/Neuron/Neuron.cpp

@@ -9,8 +9,4 @@ namespace lib4neuro {
 
     }
 
-    double Neuron::get_last_activation_value() {
-        return this->activation_val;
-    }
-
 }

src/Neuron/Neuron.h

@@ -57,12 +57,6 @@ namespace lib4neuro {
         LIB4NEURO_API virtual double activate(double x,
                                               double b) = 0;
 
-        /**
-         * returns the last value of the actual activation function output for this neuron
-         * @return
-         */
-        LIB4NEURO_API virtual double get_last_activation_value();
-
     }; /* end of Neuron class */
 
 

src/Neuron/NeuronAbsolute.cpp

@@ -16,8 +16,6 @@ namespace lib4neuro {
 
 	double NeuronAbsolute::activate(double x,
 		double b) {
-		//this->activation_val = abs(x + b);
-		this->activation_val = pow((x + b),2);
 		return this->activation_val;
 	}
 

src/Neuron/NeuronBinary.cpp

@@ -14,12 +14,10 @@ namespace lib4neuro {
                                   double b) {
 
         if (x >= b) {
-            this->activation_val = 1.0;
+            return 1.0;
         } else {
-            this->activation_val = 0.0;
+            return 0.0;
         }
-
-        return this->activation_val;
     }
 
 }
\ No newline at end of file

src/Neuron/NeuronBinaryBiased.cpp

@@ -17,12 +17,10 @@ namespace lib4neuro {
                                   double b) {
 
         if (x >= this->bias) {
-            this->activation_val = 1.0;
+            return 1.0;
         } else {
-            this->activation_val = 0.0;
+            return 0.0;
         }
-
-        return this->activation_val;
     }
     
     double NeuronBinaryBiased::activation_function_eval_derivative_bias(double x,

src/Neuron/NeuronConstant.cpp

@@ -20,8 +20,7 @@ namespace lib4neuro {
 
     double NeuronConstant::activate(double x,
                                     double b) {
-        this->activation_val = this->p;
-        return this->activation_val;
+        return this->p;
     }
 
     double NeuronConstant::activation_function_eval_derivative_bias(double x,

src/Neuron/NeuronFilter.cpp

@@ -17,8 +17,7 @@ namespace lib4neuro {
 
     double NeuronFilter::activate(double x,
                                      double b) {
-        this->activation_val = ((x + this->bias) > 0) ? x : 0.0;
-        return this->activation_val;
+        return ((x + this->bias) > 0) ? x : 0.0;
     }
 
     double NeuronFilter::activation_function_eval_derivative_bias(double x,

src/Neuron/NeuronLinear.cpp

@@ -13,8 +13,7 @@ namespace lib4neuro {
 
     double NeuronLinear::activate(double x,
                                   double b) {
-        this->activation_val = x + b;
-        return this->activation_val;
+        return x + b;
     }
 
     double NeuronLinear::activation_function_eval_derivative_bias(double x,

src/Neuron/NeuronLinearSaturated.cpp

@@ -17,15 +17,14 @@ namespace lib4neuro {
     double NeuronLinearSaturated::activate(double x,
                                      double b) {
 		if (x + b < 0) {
-			this->activation_val = 0.0;
+			return 0.0;
 		}
 		else if (x + b > this->saturation_point) {
-			this->activation_val = this->saturation_point;
+			return this->saturation_point;
 		}
 		else {
-			this->activation_val = x + b;
+			return x + b;
 		}
-        return this->activation_val;
     }
 
     double NeuronLinearSaturated::activation_function_eval_derivative_bias(double x,

src/Neuron/NeuronLogistic.cpp

@@ -23,8 +23,7 @@ namespace lib4neuro {
                                 b);
         double denom = (eb + ex);
 
-        this->activation_val = (eb * ex * (eb - ex)) / (denom * denom * denom);
-        return this->activation_val;
+        return (eb * ex * (eb - ex)) / (denom * denom * denom);
     }
 
     double NeuronLogistic_d2::activation_function_eval_derivative_bias(double x,
@@ -67,8 +66,7 @@ namespace lib4neuro {
         double d     = (eb / ex);
         double denom = (d + 1);
 
-        this->activation_val = d / (denom * denom);
-        return this->activation_val;
+        return d / (denom * denom);
     }
 
     double NeuronLogistic_d1::activation_function_eval_derivative_bias(double x,

src/Neuron/NeuronRectifier.cpp

@@ -13,8 +13,7 @@ namespace lib4neuro {
 
     double NeuronRectifier::activate(double x,
                                      double b) {
-        this->activation_val = (0 < x + b) ? x + b : 0.0;
-        return this->activation_val;
+        return (0 < x + b) ? x + b : 0.0;
     }
 
     double NeuronRectifier::activation_function_eval_derivative_bias(double x,