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
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