backpropagation implementation

include/NeuralNetwork/Learning/BackPropagation.h

@@ -0,0 +1,33 @@
+#pragma once
+
+#include <vector>
+#include <cmath>
+#include <NeuralNetwork/FeedForward/Network.h>
+
+namespace NeuralNetwork {
+namespace Learning {
+
+	/** @class BackPropagation
+	 * @brief 
+	 */
+	class BackPropagation {
+
+		public:
+			BackPropagation(): learningCoefficient(0.4) {
+
+			}
+			virtual ~BackPropagation() {
+			}
+
+			void teach(FeedForward::Network &n,const std::vector<float> &input, const std::vector<float> &output);
+
+			inline virtual void setLearningCoefficient (const float& coefficient) { learningCoefficient=coefficient; }
+
+		protected:
+			inline virtual float correction(const float & expected, const float &computed) {
+				return expected-computed;
+			};
+			float learningCoefficient;
+	};
+}
+}