Package org.neuroph.contrib.bpbench

Class Summary

Class	Description
AbstractTraining	Abstract class that defines needed methods for benchmarking
BackpropagationSettings	Class with constants for all settings used by learning algorithms
BackpropagationTraining	Class that set up neural network with backpropagation learning rule and predefined settings
BackPropBenchmarks	Base class for benchmarking of backpropagation algorithms.
BackpropBenchmarksExample	Example of backpropagation benchmark
ExportUtil
MomentumTraining	Class that set up neural network with momentum backpropagation learning rule and predefined settings
QuickpropagationTraining	Class that set up neural network with quickpropagation learning rule and predefined settings
ResilientTraining	Class that set up neural network with resilient learning rule and predefined settings
TrainingResult	Class that holds results of each individual training
TrainingSettings	Holds settings for individual training
TrainingSettingsGenerator	Class used for generating specific training settings using specter of values for different parameters
TrainingStatistics	Class that defines statistics for training`s