reffactored and recurrent implementation

include/NeuralNetwork/ActivationFunction/ActivationFunction.h

@@ -0,0 +1,42 @@
+#pragma once
+
+#include <string>
+
+namespace NeuralNetwork {
+namespace ActivationFunction {
+
+	/**
+	* @author Tomas Cernik (Tom.Cernik@gmail.com)
+	* @brief Abstract class of activation function
+	*/
+	class ActivationFunction {
+		public:
+
+			virtual ~ActivationFunction() {}
+
+			/**
+			 * @brief Returns derivation of output
+			 * @param input is input of function
+			 * @param output is output of function
+			 */
+			virtual float derivatedOutput(const float &input,const float &output)=0;
+
+			/**
+			 * @brief Returns value of output
+			 * @param x is input of function
+			 */
+			virtual float operator()(const float &x)=0;
+
+			/**
+			 * @brief Function returns clone of object
+			 */
+			virtual ActivationFunction* clone() const = 0;
+
+			/**
+			 * @brief This is a virtual function for storing Activation function
+			 * @returns json describing function
+			 */
+			virtual std::string stringify() const =0;
+	};
+}
+}