C# 클래스 Encog.Neural.Prune.PruneIncremental

상속: Encog.Util.Concurrency.Job.ConcurrentJob

공개 메소드들

메소드	설명
AddHiddenLayer ( int min, int max ) : void	Add a hidden layer's min and max. Call this once per hidden layer. Specify a zero min if it is possible to remove this hidden layer.
Init ( ) : void	Init for prune.
LoadWorkload ( ) : int	Get the next workload. This is the number of hidden neurons. This is the total amount of work to be processed.
NetworkToString ( BasicNetwork network ) : String	Format the network as a human readable string that lists the hidden layers.
PerformJobUnit ( JobUnitContext context ) : void	Perform an individual job unit, which is a single network to train and evaluate.
Process ( ) : void	Begin the prune process.
PruneIncremental ( IMLDataSet training, INeuralNetworkPattern pattern, int iterations, int weightTries, int numTopResults, IStatusReportable report ) : System	Construct an object to determine the optimal number of hidden layers and neurons for the specified training data and pattern.
RequestNextTask ( ) : Object	Request the next task. This is the next network to attempt to train.

메소드	설명
GenerateNetwork ( ) : BasicNetwork	Generate a network according to the current hidden layer counts.
IncreaseHiddenCounts ( ) : bool	Increase the hidden layer counts according to the hidden layer parameters. Increase the first hidden layer count by one, if it is maxed out, then set it to zero and increase the next hidden layer.
UpdateBest ( BasicNetwork network, double error ) : void

Add a hidden layer's min and max. Call this once per hidden layer. Specify a zero min if it is possible to remove this hidden layer.

public AddHiddenLayer ( int min, int max ) : void
min	int	The minimum number of neurons for this layer.
max	int	The maximum number of neurons for this layer.
리턴	void

Init for prune.

public Init ( ) : void
리턴	void

Get the next workload. This is the number of hidden neurons. This is the total amount of work to be processed.

public final LoadWorkload ( ) : int
리턴	int

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

public static NetworkToString ( BasicNetwork network ) : String
network	Encog.Neural.Networks.BasicNetwork	The network to format.
리턴	String

Perform an individual job unit, which is a single network to train and evaluate.

public final PerformJobUnit ( JobUnitContext context ) : void
context	Encog.Util.Concurrency.Job.JobUnitContext	Contains information about the job unit.
리턴	void

Begin the prune process.

public final Process ( ) : void
리턴	void

Construct an object to determine the optimal number of hidden layers and neurons for the specified training data and pattern.

public PruneIncremental ( IMLDataSet training, INeuralNetworkPattern pattern, int iterations, int weightTries, int numTopResults, IStatusReportable report ) : System
training	IMLDataSet	The training data to use.
pattern	INeuralNetworkPattern	The network pattern to use to solve this data.
iterations	int	How many iterations to try per network.
weightTries	int	The number of random weights to use.
numTopResults	int
report	IStatusReportable	Object used to report status to.
리턴	System

Request the next task. This is the next network to attempt to train.

public final RequestNextTask ( ) : Object
리턴	Object