perceptron implementation changed + perceptronLearningAlgorithm and tests

include/NeuralNetwork/FeedForward/Perceptron.h

@@ -13,7 +13,15 @@ namespace FeedForward {
 
 			using Network::computeOutput;
 			using Network::randomizeWeights;
-			using Network::operator[];
+
+			inline std::size_t size() const {
+				return layers[1]->size();
+			}
+
+			inline NeuronInterface& operator[](const std::size_t& neuron) {
+				return layers[1]->operator[](neuron);
+			}
+
 		protected:
 	};
 }

include/NeuralNetwork/Learning/PerceptronLearning.h

@@ -3,19 +3,18 @@
 #include <vector>
 #include <cmath>
 
-#include <NeuralNetwork/FeedForward/Network.h>
-#include "CorrectionFunction/Linear.h"
+#include <NeuralNetwork/FeedForward/Perceptron.h>
 
 namespace NeuralNetwork {
 	namespace Learning {
 
-		/** @class BackPropagation
-		 * @brief
+		/** @class PerceptronLearning
+		 * @brief Basic algorithm for learning Perceptron
 		 */
 		class PerceptronLearning {
 
 		public:
-			inline PerceptronLearning(FeedForward::Network &feedForwardNetwork): network(feedForwardNetwork), learningCoefficient(0.4) {
+			inline PerceptronLearning(FeedForward::Perceptron &perceptronNetwork): perceptron(perceptronNetwork), learningCoefficient(0.1) {
 			}
 
 			virtual ~PerceptronLearning() {
@@ -30,7 +29,7 @@ namespace NeuralNetwork {
 
 		protected:
 
-			FeedForward::Network &network;
+			FeedForward::Perceptron &perceptron;
 
 			float learningCoefficient;
 		};