C# Класс Encog.Neural.Networks.Prune.PruneSelective

Prune a neural network selectivly. This class allows you to either add or remove neurons from layers of a neural network.

Показать файл Открыть проект

Открытые методы

Метод	Описание
ChangeNeuronCount ( ILayer layer, int neuronCount ) : void	Change the neuron count for the network. If the count is increased then a zero-weighted neuron is added, which will not affect the output of the neural network. If the neuron count is decreased, then the weakest neuron will be removed.
DetermineNeuronSignificance ( ILayer layer, int neuron ) : double	Determine the significance of the neuron. The higher the return value, the more significant the neuron is.
Prune ( ILayer targetLayer, int neuron ) : void	Prune one of the neurons from this layer. Remove all entries in this weight matrix and other layers.
PruneSelective ( BasicNetwork network ) : System	Construct an object prune the neural network.
StimulateNeuron ( double percent, ILayer layer, int neuron ) : void	Stimulate the specified neuron by the specified percent. This is used to randomize the weights and bias values for weak neurons.
StimulateWeakNeurons ( ILayer layer, int count, double percent ) : void	Stimulate weaker neurons on a layer. Find the weakest neurons and then randomize them by the specified percent.

Приватные методы

Метод	Описание
DecreaseNeuronCount ( ILayer layer, int neuronCount ) : void	Internal function to decrease the neuron count of a layer.
FindWeakestNeurons ( ILayer layer, int count ) : int[]	Find the weakest neurons.
IncreaseNeuronCount ( ILayer layer, int neuronCount ) : void	Internal function to increase the neuron count. This will add a zero-weight neuron to this layer.

Описание методов

ChangeNeuronCount() публичный Метод

Change the neuron count for the network. If the count is increased then a zero-weighted neuron is added, which will not affect the output of the neural network. If the neuron count is decreased, then the weakest neuron will be removed.

public ChangeNeuronCount ( ILayer layer, int neuronCount ) : void
layer	ILayer	The layer to adjust.
neuronCount	int	The new neuron count for this layer.
Результат	void

DetermineNeuronSignificance() публичный Метод

Determine the significance of the neuron. The higher the return value, the more significant the neuron is.

public DetermineNeuronSignificance ( ILayer layer, int neuron ) : double
layer	ILayer	The layer to query.
neuron	int	The neuron to query.
Результат	double

Prune() публичный Метод

Prune one of the neurons from this layer. Remove all entries in this weight matrix and other layers.

public Prune ( ILayer targetLayer, int neuron ) : void
targetLayer	ILayer	The neuron to prune. Zero specifies the first neuron.
neuron	int	The neuron to prune.
Результат	void

PruneSelective() публичный Метод

Construct an object prune the neural network.

public PruneSelective ( BasicNetwork network ) : System
network	BasicNetwork	The network to prune.
Результат	System

StimulateNeuron() публичный Метод

Stimulate the specified neuron by the specified percent. This is used to randomize the weights and bias values for weak neurons.

public StimulateNeuron ( double percent, ILayer layer, int neuron ) : void
percent	double	The percent to randomize by.
layer	ILayer	The layer that the neuron is on.
neuron	int	The neuron to randomize.
Результат	void

StimulateWeakNeurons() публичный Метод

Stimulate weaker neurons on a layer. Find the weakest neurons and then randomize them by the specified percent.

public StimulateWeakNeurons ( ILayer layer, int count, double percent ) : void
layer	ILayer	The layer to stimulate.
count	int	The number of weak neurons to stimulate.
percent	double	The percent to stimulate by.
Результат	void