#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) const {
				return expected-computed;
			};
			float learningCoefficient;
	};
}
}