C# Class Encog.Neural.Networks.Prune.PruneIncremental

This class is used to help determine the optimal configuration for the hidden layers of a neural network. It can accept a pattern, which specifies the type of neural network to create, and a list of the maximum and minimum hidden layer neurons. It will then attempt to train the neural network at all configurations and see which hidden neuron counts work the best.

Inheritance: Encog.Engine.Concurrency.Job.ConcurrentJob

Exibir arquivo Open project: encog/encog-silverlight-core Class Usage Examples

Public Methods

Method	Description
AddHiddenLayer ( int min, int max ) : void
LoadWorkload ( ) : int	Load all workloads, calculate how many networks we will examine.
NetworkToString ( BasicNetwork network ) : String	Format the network as a human readable string that lists the hidden layers.
PerformJobUnit ( JobUnitContext context ) : void	Evaluate one network.
Process ( ) : void	Begin process and find a good network.
PruneIncremental ( INeuralDataSet training, INeuralNetworkPattern pattern, int iterations, IStatusReportable report ) : log4net
RequestNextTask ( ) : Object	Request the next task, the next network to try.

Private Methods

Method	Description
GenerateNetwork ( ) : BasicNetwork
IncreaseHiddenCounts ( ) : bool

Method Details

AddHiddenLayer() public method

public AddHiddenLayer ( int min, int max ) : void
min	int
max	int
return	void

LoadWorkload() public method

Load all workloads, calculate how many networks we will examine.

public LoadWorkload ( ) : int
return	int

NetworkToString() public static method

Format the network as a human readable string that lists the hidden layers.

public static NetworkToString ( BasicNetwork network ) : String
network	BasicNetwork	The network to format.
return	String

PerformJobUnit() public method

Evaluate one network.

public PerformJobUnit ( JobUnitContext context ) : void
context	Encog.Engine.Concurrency.Job.JobUnitContext	The job context.
return	void

Process() public method

Begin process and find a good network.

public Process ( ) : void
return	void

PruneIncremental() public method

public PruneIncremental ( INeuralDataSet training, INeuralNetworkPattern pattern, int iterations, IStatusReportable report ) : log4net
training	INeuralDataSet
pattern	INeuralNetworkPattern
iterations	int
report	IStatusReportable
return	log4net

RequestNextTask() public method

Request the next task, the next network to try.

public RequestNextTask ( ) : Object
return	Object