Uses of Class
org.cognity.neural.train.GradientDescent

Packages that use GradientDescent

Package	Description
org.cognity.neural.train

Uses of GradientDescent in org.cognity.neural.train

Subclasses of GradientDescent in org.cognity.neural.train

Modifier and Type	Class and Description
class	Backpropagation The backpropagation algorithm with momentum.

Constructors in org.cognity.neural.train with parameters of type GradientDescent

Constructor and Description
MaxErrorCondition(GradientDescent algorithm) Creates a new stop condition using default value for the maximum acceptable error.
MaxErrorCondition(GradientDescent algorithm, double maxError) Creates a new stop condition.
MinErrorChangeCondition(GradientDescent algorithm) Creates a new stop condition using default minimal error change value.
MinErrorChangeCondition(GradientDescent algorithm, double minErrorChange) Creates a new stop condition.