C# Class Encog.Neural.ART.ART1

Inheritance: BasicART, IMLResettable, IMLClassification

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Private Properties

Property	Type	Description
ComputeF1	void
ComputeF2	void
GetOutput	void

Public Methods

Method	Description
ART1 ( ) : System	Default constructor, used mainly for persistence.
ART1 ( int theF1Count, int theF2Count ) : System	Construct the ART1 network.
AdjustWeights ( ) : void	Adjust the weights for the pattern just presented.
Classify ( IMLData input ) : int	Classify the input data to a class number.
Compute ( IMLData input ) : IMLData	Compute the output for the BasicNetwork class.
Compute ( BiPolarMLData input, BiPolarMLData output ) : void	Compute the output from the ART1 network. This can be called directly or used by the BasicNetwork class. Both input and output should be bipolar numbers.
Magnitude ( BiPolarMLData input ) : double	Get the magnitude of the specified input.
Reset ( ) : void	Reset the weight matrix back to starting values.
Reset ( int seed ) : void	Reset with a specic seed.

Private Methods

Method	Description
ComputeF1 ( BiPolarMLData input ) : void	Compute the output from the F1 layer.
ComputeF2 ( ) : void	Compute the output from the F2 layer.
GetOutput ( BiPolarMLData output ) : void	Copy the output from the network to another object.

Method Details

ART1() public method

Default constructor, used mainly for persistence.

public ART1 ( ) : System
return	System

ART1() public method

Construct the ART1 network.

public ART1 ( int theF1Count, int theF2Count ) : System
theF1Count	int	The neuron count for the f1 layer.
theF2Count	int	The neuron count for the f2 layer.
return	System

AdjustWeights() public method

Adjust the weights for the pattern just presented.

public AdjustWeights ( ) : void
return	void

Classify() public method

Classify the input data to a class number.

public Classify ( IMLData input ) : int
input	IMLData	The input data.
return	int

Compute() public method

Compute the output for the BasicNetwork class.

public Compute ( IMLData input ) : IMLData
input	IMLData	The input to the network.
return	IMLData

Compute() public method

Compute the output from the ART1 network. This can be called directly or used by the BasicNetwork class. Both input and output should be bipolar numbers.

public Compute ( BiPolarMLData input, BiPolarMLData output ) : void
input	Encog.ML.Data.Specific.BiPolarMLData	The input to the network.
output	Encog.ML.Data.Specific.BiPolarMLData	The output from the network.
return	void

Magnitude() public method

Get the magnitude of the specified input.

public Magnitude ( BiPolarMLData input ) : double
input	Encog.ML.Data.Specific.BiPolarMLData	The input to calculate the magnitude for.
return	double

Reset() public method

Reset the weight matrix back to starting values.

public Reset ( ) : void
return	void

Reset() public method

Reset with a specic seed.

public Reset ( int seed ) : void
seed	int	The seed to reset with.
return	void