removing function from neuron

include/NeuralNetwork/Neuron.h

@@ -18,11 +18,13 @@ namespace NeuralNetwork
 	class NeuronInterface
 	{
 		public:
-			NeuronInterface(const unsigned long &_id=0): id(_id) {
+			NeuronInterface(const unsigned long &_id=0): id(_id), weights(1),_output(1),
+														 _value(0) {
 
 			}
 
-			NeuronInterface(const NeuronInterface &r): id(r.id), weights(r.weights),_output(r._output) {
+			NeuronInterface(const NeuronInterface &r): id(r.id), weights(r.weights),_output(r._output),
+													   _value(r._value) {
 				weights=weights;
 			}
 
@@ -37,20 +39,36 @@ namespace NeuralNetwork
 			 */
 			virtual std::string stringify(const std::string &prefix="") const =0;
 
-			inline virtual float weight(const NeuronInterface &n) const final {
-				return weights[n.id];
+			/**
+			 * @brief getter for neuron weight
+			 * @param &neuron is neuron it's weight is returned
+			 */
+			inline virtual float weight(const NeuronInterface &neuron) const final {
+				return weights[neuron.id];
 			}
 
-			inline virtual float weight(const std::size_t &n) const final {
-				return weights[n];
+			/**
+			 * @brief getter for neuron weight
+			 * @param &neuronID is id of neuron
+			 */
+			inline virtual float weight(const std::size_t &neuronID) const final {
+				return weights[neuronID];
 			}
 
-			inline virtual float& weight(const NeuronInterface &n) final {
-				return weights[n.id];
+			/**
+			 * @brief This is a virtual function for storing network
+			 * @returns json describing network and it's state
+			 */
+			inline virtual float& weight(const NeuronInterface &neuron) final {
+				return weights[neuron.id];
 			}
 
-			inline virtual float& weight(const std::size_t &n) final {
-				return weights[n];
+			/**
+			 * @brief getter for neuron weight
+			 * @param &neuronID is id of neuron
+			 */
+			inline virtual float& weight(const std::size_t &neuronID) final {
+				return weights[neuronID];
 			}
 
 			/**
@@ -62,22 +80,15 @@ namespace NeuralNetwork
 			/**
 			 * @brief Returns input of neuron
 			 */
-			virtual float value() const=0;
-
-			/**
-			 * @brief Function sets bias for neuron
-			 * @param bias is new bias (initial value for neuron)
-			 */
-			virtual void setBias(const float &bias)=0;
-
-			/**
-			 * @brief Function returns bias for neuron
-			 */
-			virtual float getBias() const=0;
+			inline virtual float value() const final {
+				return _value;
+			};
 
 			virtual float operator()(const std::vector<float>& inputs) =0;
 
-
+			/**
+			 * @brief function resizes weighs to desired size
+			 */
 			inline virtual void setInputSize(const std::size_t &size) final {
 				if(weights.size()<size) {
 					weights.resize(size);
@@ -89,21 +100,24 @@ namespace NeuralNetwork
 			 */
 			virtual NeuronInterface* clone() const = 0;
 
-			/*
+			/**
 			 * @brief getter for basis function of neuron
 			 */
 			virtual BasisFunction::BasisFunction& getBasisFunction() =0;
 
-			/*
+			/**
 			 * @brief getter for activation function of neuron
 			 */
 			virtual ActivationFunction::ActivationFunction& getActivationFunction() =0;
 
-
+			/**
+			 * @brief id is identificator if neuron
+			 */
 			const unsigned long id;
 		protected:
-			std::vector<float> weights= std::vector<float>(1);
-			float _output=1.0;
+			std::vector<float> weights;
+			float _output;
+			float _value;
 	};
 
 	/**
@@ -115,13 +129,11 @@ namespace NeuralNetwork
 		public:
 			Neuron(unsigned long _id=0, const ActivationFunction::ActivationFunction &activationFunction=ActivationFunction::Sigmoid(-4.9)):
 										NeuronInterface(_id), basis(new BasisFunction::Linear),
-										activation(activationFunction.clone()),
-										_value(0) {
+										activation(activationFunction.clone()) {
 				_output=0.0;
 			}
 
-			Neuron(const Neuron &r): NeuronInterface(r), basis(r.basis->clone()), activation(r.activation->clone()),
-									 _value(r._value) {
+			Neuron(const Neuron &r): NeuronInterface(r), basis(r.basis->clone()), activation(r.activation->clone()) {
 			}
 
 			virtual ~Neuron() {
@@ -133,28 +145,6 @@ namespace NeuralNetwork
 
 			virtual std::string stringify(const std::string &prefix="") const override;
 
-			/**
-			 * @brief Returns input of neuron
-			 */
-			virtual float value() const override {
-				return _value;
-			}
-
-			/**
-			 * @brief Function sets bias for neuron
-			 * @param _bias is new bias (initial value for neuron)
-			 */
-			virtual void setBias(const float &_bias) override {
-				weights[0]=_bias;
-			}
-
-			/**
-			 * @brief Function returns bias for neuron
-			 */
-			virtual float getBias() const override {
-				return weights[0];
-			}
-
 			float operator()(const std::vector<float>& inputs) {
 				//compute value
 				_value=basis->operator()(weights,inputs);
@@ -181,8 +171,6 @@ namespace NeuralNetwork
 
 			BasisFunction::BasisFunction *basis;
 			ActivationFunction::ActivationFunction *activation;
-
-			float _value;
 	};
 
 	class BiasNeuron: public NeuronInterface {
@@ -200,14 +188,8 @@ namespace NeuralNetwork
 					std::string text;
 			};
 
-			virtual float getBias() const override { return 0; };
-
-			virtual void setBias(const float&) override{ }
-
 			virtual std::string stringify(const std::string& prefix = "") const override { return prefix+"{ \"class\" : \"NeuralNetwork::BiasNeuron\" }"; }
 
-			virtual float value() const override { return 1.0; }
-
 			virtual float operator()(const std::vector< float >&) override { return 1.0; }
 
 			virtual BiasNeuron* clone() const { return new BiasNeuron(); }
@@ -241,14 +223,8 @@ namespace NeuralNetwork
 				
 			}
 
-			virtual float getBias() const override { return 0; };
-
-			virtual void setBias(const float&) override{ }
-
 			virtual std::string stringify(const std::string& prefix = "") const override { return prefix+"{ \"class\" : \"NeuralNetwork::InputNeuron\", \"id\": "+std::to_string(id)+" }"; }
 
-			virtual float value() const override { return 1.0; }
-
 			virtual float operator()(const std::vector< float >&) override { return 1.0; }
 
 			virtual InputNeuron* clone() const { return new InputNeuron(id); }

src/NeuralNetwork/Learning/BackPropagation.cpp

@@ -74,6 +74,5 @@ void NeuralNetwork::Learning::BackPropagation::teach(FeedForward::Network &netwo
 				}
 			}
 		}
-		}
 	}
 }

src/NeuralNetwork/Neuron.cpp

@@ -7,7 +7,6 @@ std::string NeuralNetwork::Neuron::stringify(const std::string &prefix) const {
 	out << prefix << "{\n";
 	out << prefix << "\t\"class\": \"NeuralNetwork::Neuron\",\n";
 	out << prefix << "\t\"id\": " << id << ",\n";
-	out << prefix << "\t\"bias\": " << getBias() << ",\n";
 	out << prefix << "\t\"output\": " << output() << ",\n";
 	out << prefix << "\t\"value\": " << value() << ",\n";
 	out << prefix << "\t\"activationFunction\": " << activation->stringify() <<",\n";