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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
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