Represents the neural network consisting of layers of neurons. More...

Public Member Functions
	NeuralNetwork (const std::vector< unsigned > &topology)
	Constructs a NeuralNetwork with the given topology. More...

void	feedForward (const std::vector< double > &inputVals)
	Feeds the input values forward through the network. More...

void	backProp (const std::vector< double > &targetVals)
	Performs backpropagation to adjust weights. More...

void	getResults (std::vector< double > &resultVals) const
	Gets the results from the output layer. More...

double	getRecentAverageError () const
	Gets the recent average error of the network. More...

Detailed Description

Represents the neural network consisting of layers of neurons.

Constructor & Destructor Documentation

NeuralNetwork::NeuralNetwork ( const std::vector< unsigned > & topology )

Constructs a NeuralNetwork with the given topology.

Parameters

topology A vector representing the number of neurons in each layer.

void NeuralNetwork::backProp ( const std::vector< double > & targetVals )

Performs backpropagation to adjust weights.

Parameters

targetVals The target output values.

void NeuralNetwork::feedForward ( const std::vector< double > & inputVals )

Feeds the input values forward through the network.

Parameters

inputVals The input values.

double NeuralNetwork::getRecentAverageError ( ) const

Gets the recent average error of the network.

void NeuralNetwork::getResults ( std::vector< double > & resultVals ) const

Gets the results from the output layer.

Parameters

resultVals The vector to store output values.

The documentation for this class was generated from the following file: