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## Hierarchy For All Packages

Package Hierarchies:
  org.neuroph.core, org.neuroph.core.events, org.neuroph.core.exceptions, org.neuroph.core.input, org.neuroph.core.learning, org.neuroph.core.transfer, org.neuroph.nnet, org.neuroph.nnet.comp, org.neuroph.nnet.comp.layer, org.neuroph.nnet.comp.neuron, org.neuroph.nnet.learning, org.neuroph.util, org.neuroph.util.benchmark, org.neuroph.util.io, org.neuroph.util.norm, org.neuroph.util.plugins, org.neuroph.util.random, test

## Class Hierarchy

- java.lang.Object
  - org.neuroph.util.benchmark.Benchmark
  - org.neuroph.util.benchmark.BenchmarkSample
  - org.neuroph.util.benchmark.BenchmarkTask
    - org.neuroph.util.benchmark.MyBenchmarkTask
  - org.neuroph.util.benchmark.BenchmarkTaskResults
  - org.neuroph.core.Connection (implements java.io.Serializable)
    - org.neuroph.nnet.comp.DelayedConnection
  - org.neuroph.util.ConnectionFactory
  - org.neuroph.core.learning.DataSet (implements java.io.Serializable)
  - org.neuroph.core.learning.DataSetRow (implements java.io.Serializable)
  - org.neuroph.util.norm.DecimalScaleNormalizer (implements org.neuroph.util.norm.Normalizer)
  - java.util.Dictionary<K,V>
    - java.util.Hashtable<K,V> (implements java.lang.Cloneable, java.util.Map<K,V>, java.io.Serializable)
      - org.neuroph.util.Properties
        - org.neuroph.util.NeuronProperties
  - java.util.EventObject (implements java.io.Serializable)
    - org.neuroph.core.events.LearningEvent
  - org.neuroph.util.FileUtils
  - org.neuroph.core.input.InputFunction (implements java.io.Serializable)
    - org.neuroph.core.input.And (implements java.io.Serializable)
    - org.neuroph.core.input.Difference (implements java.io.Serializable)
    - org.neuroph.core.input.Max (implements java.io.Serializable)
    - org.neuroph.core.input.Min (implements java.io.Serializable)
    - org.neuroph.core.input.Or (implements java.io.Serializable)
    - org.neuroph.core.input.Product (implements java.io.Serializable)
    - org.neuroph.core.input.Sum (implements java.io.Serializable)
    - org.neuroph.core.input.SumSqr (implements java.io.Serializable)
    - org.neuroph.core.input.WeightedSum
  - org.neuroph.util.io.InputStreamAdapter (implements org.neuroph.util.io.InputAdapter)
    - org.neuroph.util.io.FileInputAdapter
    - org.neuroph.util.io.URLInputAdapter
  - org.neuroph.util.io.IOHelper
  - org.neuroph.util.io.JDBCInputAdapter (implements org.neuroph.util.io.InputAdapter)
  - org.neuroph.util.io.JDBCOutputAdapter (implements org.neuroph.util.io.OutputAdapter)
  - org.neuroph.core.Layer (implements java.io.Serializable)
    - org.neuroph.nnet.comp.layer.CompetitiveLayer
    - org.neuroph.nnet.comp.layer.InputLayer
  - org.neuroph.util.LayerFactory
  - org.neuroph.core.learning.LearningRule (implements java.io.Serializable)
    - org.neuroph.nnet.learning.HopfieldLearning
    - org.neuroph.core.learning.IterativeLearning (implements java.io.Serializable)
      - org.neuroph.core.learning.SupervisedLearning (implements java.io.Serializable)
        - org.neuroph.nnet.learning.LMS (implements java.io.Serializable)
          - org.neuroph.nnet.learning.PerceptronLearning
            - org.neuroph.nnet.learning.BinaryDeltaRule
          - org.neuroph.nnet.learning.SigmoidDeltaRule
            - org.neuroph.nnet.learning.BackPropagation
              - org.neuroph.nnet.learning.MomentumBackpropagation
                - org.neuroph.nnet.learning.DynamicBackPropagation
              - org.neuroph.nnet.learning.ResilientPropagation
          - org.neuroph.nnet.learning.SupervisedHebbianLearning
        - org.neuroph.nnet.learning.SimulatedAnnealingLearning
      - org.neuroph.core.learning.UnsupervisedLearning (implements java.io.Serializable)
        - org.neuroph.nnet.learning.CompetitiveLearning
        - org.neuroph.nnet.learning.UnsupervisedHebbianLearning
          - org.neuroph.nnet.learning.AntiHebbianLearning
          - org.neuroph.nnet.learning.BinaryHebbianLearning
          - org.neuroph.nnet.learning.GeneralizedHebbianLearning
          - org.neuroph.nnet.learning.InstarLearning
          - org.neuroph.nnet.learning.OjaLearning
          - org.neuroph.nnet.learning.OutstarLearning
    - org.neuroph.nnet.learning.KohonenLearning
  - org.neuroph.util.norm.MaxMinNormalizer (implements org.neuroph.util.norm.Normalizer)
  - org.neuroph.util.norm.MaxNormalizer (implements org.neuroph.util.norm.Normalizer)
  - org.neuroph.nnet.learning.MomentumBackpropagation.MomentumWeightTrainingData
  - org.neuroph.util.NeuralNetworkCODEC
  - org.neuroph.util.NeuralNetworkFactory
  - org.neuroph.core.Neuron (implements java.io.Serializable)
    - org.neuroph.nnet.comp.neuron.BiasNeuron
    - org.neuroph.nnet.comp.neuron.DelayedNeuron
      - org.neuroph.nnet.comp.neuron.CompetitiveNeuron
    - org.neuroph.nnet.comp.neuron.InputNeuron
    - org.neuroph.nnet.comp.neuron.InputOutputNeuron
    - org.neuroph.nnet.comp.neuron.ThresholdNeuron
  - org.neuroph.util.NeuronFactory
  - org.neuroph.util.Neuroph
  - java.util.Observable
    - org.neuroph.core.NeuralNetwork (implements java.io.Serializable)
      - org.neuroph.nnet.Adaline
      - org.neuroph.nnet.BAM
      - org.neuroph.nnet.CompetitiveNetwork
      - org.neuroph.nnet.Hopfield
      - org.neuroph.nnet.Instar
      - org.neuroph.nnet.Kohonen
      - org.neuroph.nnet.MaxNet
      - org.neuroph.nnet.MultiLayerPerceptron
      - org.neuroph.nnet.NeuroFuzzyPerceptron
      - org.neuroph.nnet.Outstar
      - org.neuroph.nnet.Perceptron
      - org.neuroph.nnet.RbfNetwork
      - org.neuroph.nnet.SupervisedHebbianNetwork
      - org.neuroph.nnet.UnsupervisedHebbianNetwork
  - org.neuroph.util.io.OutputStreamAdapter (implements org.neuroph.util.io.OutputAdapter)
    - org.neuroph.util.io.FileOutputAdapter
    - org.neuroph.util.io.URLOutputAdapter
  - org.neuroph.util.plugins.PluginBase (implements java.io.Serializable)
  - org.neuroph.nnet.learning.ResilientPropagation.ResilientWeightTrainingtData
  - org.neuroph.util.benchmark.Stopwatch
  - test.Test
  - java.lang.Throwable (implements java.io.Serializable)
    - java.lang.Exception
      - java.lang.RuntimeException
        - org.neuroph.core.exceptions.NeurophException
          - org.neuroph.util.io.NeurophInputException
          - org.neuroph.util.io.NeurophOutputException
          - org.neuroph.core.exceptions.VectorSizeMismatchException
  - org.neuroph.util.TrainingSetImport
  - org.neuroph.core.transfer.TransferFunction (implements java.io.Serializable)
    - org.neuroph.core.transfer.Gaussian (implements java.io.Serializable)
    - org.neuroph.core.transfer.Linear (implements java.io.Serializable)
    - org.neuroph.core.transfer.Log
    - org.neuroph.core.transfer.Ramp (implements java.io.Serializable)
    - org.neuroph.core.transfer.Sgn (implements java.io.Serializable)
    - org.neuroph.core.transfer.Sigmoid (implements java.io.Serializable)
    - org.neuroph.core.transfer.Sin
    - org.neuroph.core.transfer.Step (implements java.io.Serializable)
    - org.neuroph.core.transfer.Tanh (implements java.io.Serializable)
    - org.neuroph.core.transfer.Trapezoid (implements java.io.Serializable)
  - org.neuroph.util.VectorParser
  - org.neuroph.core.Weight (implements java.io.Serializable)
  - org.neuroph.util.random.WeightsRandomizer
    - org.neuroph.util.random.DistortRandomizer
    - org.neuroph.util.random.GaussianRandomizer
    - org.neuroph.util.random.RangeRandomizer
      - org.neuroph.util.random.NguyenWidrowRandomizer

## Interface Hierarchy

- java.util.EventListener
  - org.neuroph.core.events.LearningEventListener
- org.neuroph.util.io.InputAdapter
- org.neuroph.util.norm.Normalizer
- org.neuroph.util.io.OutputAdapter

## Enum Hierarchy

- java.lang.Object
  - java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
    - org.neuroph.util.TransferFunctionType
    - org.neuroph.util.NeuralNetworkType

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