Core 2.96 API

Packages

Package	Description
org.neuroph.core	Provides base classes and basic building components for neural networks.
org.neuroph.core.data	Provides data set related classes and manipulation methods.
org.neuroph.core.events	Provides neural network learning events system
org.neuroph.core.exceptions	Provides specific exceptions when working with neural networks
org.neuroph.core.input	Provides common neuron input functions
org.neuroph.core.learning	Provides base classes for neural network learning algorithms.
org.neuroph.core.learning.error	Provides error functions for learning rules
org.neuroph.core.learning.stop	Provides stop functions for learning rules
org.neuroph.core.transfer	Provides common neuron transfer functions
org.neuroph.eval
org.neuroph.eval.classification
org.neuroph.nnet	Provides out-of-the-box neural networks
org.neuroph.nnet.comp	Provides components for the specific neural network models.
org.neuroph.nnet.comp.layer	Provides various specific layer types
org.neuroph.nnet.comp.neuron	Provides various specific neuron types
org.neuroph.nnet.learning	Provides implementations of specific neural network learning algorithms.
org.neuroph.nnet.learning.kmeans
org.neuroph.nnet.learning.knn
org.neuroph.util	Provides various utility classes for creating neural networks, type codes, parsing vectors, etc.
org.neuroph.util.benchmark	Provides microbenchmaarking framework for measuring and comparing Neuroph performance.
org.neuroph.util.data.norm	Provides data normalization techniques.
org.neuroph.util.data.sample	Provides data sampling techniques
org.neuroph.util.io	Provides input/output adapters for file, JDBC, URL, stream
org.neuroph.util.plugins	Provides various plugins for neural networks.
org.neuroph.util.random	Provides weights randomization techniques