Core 2.7 API

Packages

org.neuroph.core	Provides base classes and basic building components for neural networks.
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.transfer	Provides common neuron transfer functions
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.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.io	Provides input/output adapters for file, JDBC, URL, stream
org.neuroph.util.norm	Provides data normalization techniques
org.neuroph.util.plugins	Provides various plugins for neural networks.
org.neuroph.util.random	Provides weights randomization techniques
test