Package org.neuroph.util

Provides various utility classes for creating neural networks, type codes, parsing vectors, etc.

See: Description

Class Summary

Class	Description
ConnectionFactory	Provides methods to connect neurons by creating Connection objects.
DataSetStatistics	This class calculates statistics for data set.
DataSetStats	Utility class with methods for calculating dataset statistics Calculate everything in one pass and expose as attributes - like summary() in R Not only for inputs but also for outputs
LayerFactory	Provides methods to create instance of a Layer with various setting (number of neurons and neuron's properties, etc.
NeuralNetworkCODEC	A CODEC encodes and decodes neural networks, much like the more standard definition of a CODEC encodes and decodes audio/video.
NeuralNetworkFactory	Provides methods to create various neural networks.
NeuronFactory	Provides methods to create customized instances of Neuron.
NeuronProperties	Represents properties of a neuron.
Neuroph	This singleton holds global settings for the whole framework
Properties	Represents a general set of properties for neuroph objects
TrainingSetImport	Handles training set imports
VectorParser	Provides methods to parse strings as Integer or Double vectors.

Enum Summary

Enum	Description
DataSetColumnType
NeuralNetworkType	Contains neural network types and labels.
TransferFunctionType	Contains transfer functions types and labels.

Package org.neuroph.util Description

Provides various utility classes for creating neural networks, type codes, parsing vectors, etc.