Uses of Class
com.imsl.datamining.neural.Network

Packages that use Network

Package	Description
com.imsl.datamining.neural	Neural networks.

Uses of Network in com.imsl.datamining.neural

Subclasses of Network in com.imsl.datamining.neural

Modifier and Type	Class	Description
class	FeedForwardNetwork	A representation of a feed forward neural network.

Methods in com.imsl.datamining.neural that return Network

Modifier and Type	Method	Description
Network	BinaryClassification.getNetwork()	Returns the network being used for classification.
Network	MultiClassification.getNetwork()	Returns the network being used for classification.

Methods in com.imsl.datamining.neural with parameters of type Network

Modifier and Type	Method	Description
void	EpochTrainer.train(Network network, double[][] xData, double[][] yData)	Trains the neural network using supplied training patterns.
void	LeastSquaresTrainer.train(Network network, double[][] xData, double[][] yData)	Trains the neural network using supplied training patterns.
void	QuasiNewtonTrainer.train(Network network, double[][] xData, double[][] yData)	Trains the neural network using supplied training patterns.
void	Trainer.train(Network network, double[][] xData, double[][] yData)	Trains the neural network using supplied training patterns.

Constructors in com.imsl.datamining.neural with parameters of type Network

Modifier	Constructor	Description
	BinaryClassification(Network network)	Creates a binary classifier.
	MultiClassification(Network network)	Creates a classifier.