modified learning algorithms

include/NeuralNetwork/Learning/BackPropagation.h

@@ -13,13 +13,14 @@ namespace Learning {
 	class BackPropagation {
 
 		public:
-			BackPropagation(): learningCoefficient(0.4) {
-
+			inline BackPropagation(FeedForward::Network &feedForwardNetwork): network(feedForwardNetwork), learningCoefficient(0.4), deltas() {
+				resize();
 			}
+
 			virtual ~BackPropagation() {
 			}
 
-			void teach(FeedForward::Network &n,const std::vector<float> &input, const std::vector<float> &output);
+			void teach(const std::vector<float> &input, const std::vector<float> &output);
 
 			inline virtual void setLearningCoefficient (const float& coefficient) { learningCoefficient=coefficient; }
 
@@ -27,7 +28,22 @@ namespace Learning {
 			inline virtual float correction(const float & expected, const float &computed) const {
 				return expected-computed;
 			};
+
+			inline void resize() {
+				if(deltas.size()!=network.size())
+					deltas.resize(network.size());
+
+				for(std::size_t i=0; i < network.size(); i++) {
+					if(deltas[i].size()!=network[i].size())
+						deltas[i].resize(network[i].size());
+				}
+			}
+
+			FeedForward::Network &network;
+
 			float learningCoefficient;
+
+			std::vector<std::vector<float>> deltas;
 	};
 }
 }

include/NeuralNetwork/Learning/OpticalBackPropagation.h

@@ -11,7 +11,7 @@ namespace Learning {
 	class OpticalBackPropagation : public BackPropagation {
 
 		public:
-			OpticalBackPropagation(): BackPropagation() {
+			OpticalBackPropagation(FeedForward::Network &feedForwardNetwork): BackPropagation(feedForwardNetwork) {
 
 			}
 			virtual ~OpticalBackPropagation() {