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## Hierarchy For All Packages

Package Hierarchies:
  org.neuroph.contrib, org.neuroph.contrib.imgrec, org.neuroph.core, org.neuroph.core.input, org.neuroph.core.learning, org.neuroph.core.transfer, org.neuroph.nnet, org.neuroph.nnet.comp, org.neuroph.nnet.learning, org.neuroph.samples, org.neuroph.util, org.neuroph.util.plugins

## Class Hierarchy

- java.lang.Object
  - org.neuroph.core.Connection (implements java.io.Serializable)
    - org.neuroph.nnet.comp.DelayedConnection
  - org.neuroph.util.ConnectionFactory
  - java.util.Dictionary<K,V>
    - java.util.Hashtable<K,V> (implements java.lang.Cloneable, java.util.Map<K,V>, java.io.Serializable)
      - java.util.Properties
        - org.neuroph.util.NeuronProperties
  - org.neuroph.util.FileUtils
  - org.neuroph.contrib.imgrec.FractionRgbData
  - org.neuroph.samples.HopfieldSample
  - org.neuroph.contrib.imgrec.ImageRecognitionHelper
  - org.neuroph.contrib.imgrec.ImageRecognitionSample
  - org.neuroph.contrib.imgrec.ImageSampler
  - org.neuroph.core.input.InputFunction (implements java.io.Serializable)
  - org.neuroph.core.Layer (implements java.io.Serializable)
    - org.neuroph.nnet.comp.CompetitiveLayer
  - org.neuroph.util.LayerFactory
  - org.neuroph.nnet.ModularNetwork
  - org.neuroph.util.NeuralNetworkFactory
  - org.neuroph.core.Neuron (implements java.io.Serializable)
    - org.neuroph.nnet.comp.DelayedNeuron
      - org.neuroph.nnet.comp.CompetitiveNeuron
    - org.neuroph.contrib.IACNeuron
    - org.neuroph.nnet.comp.InputOutputNeuron
    - org.neuroph.nnet.comp.ThresholdNeuron
  - org.neuroph.util.NeuronFactory
  - java.util.Observable
    - org.neuroph.core.learning.LearningRule (implements java.lang.Runnable, 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.SigmoidDeltaRule
              - org.neuroph.nnet.learning.BackPropagation
                - org.neuroph.nnet.learning.MomentumBackpropagation
            - org.neuroph.nnet.learning.StepDeltaRule
            - org.neuroph.nnet.learning.SupervisedHebbianLearning
        - org.neuroph.core.learning.UnsupervisedLearning (implements java.io.Serializable)
          - org.neuroph.nnet.learning.CompetitiveLearning
          - org.neuroph.nnet.learning.UnsupervisedHebbianLearning
            - org.neuroph.nnet.learning.BinaryHebbianLearning
            - org.neuroph.nnet.learning.InstarLearning
            - org.neuroph.nnet.learning.OjaLearning
            - org.neuroph.nnet.learning.OutstarLearning
      - org.neuroph.nnet.learning.KohonenLearning
    - org.neuroph.core.NeuralNetwork (implements java.lang.Runnable, java.io.Serializable)
      - org.neuroph.nnet.Adaline
      - org.neuroph.nnet.BAM
      - org.neuroph.nnet.CompetitiveNetwork
      - org.neuroph.nnet.Hopfield
      - org.neuroph.contrib.IACNetwork
      - 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.contrib.RecommenderNetwork
      - org.neuroph.nnet.SupervisedHebbianNetwork
      - org.neuroph.nnet.UnsupervisedHebbianNetwork
  - org.neuroph.samples.PerceptronSample
  - org.neuroph.util.plugins.PluginBase (implements java.io.Serializable)
    - org.neuroph.contrib.imgrec.ImageRecognitionPlugin (implements java.io.Serializable)
    - org.neuroph.util.plugins.LabelsPlugin
  - org.neuroph.core.input.SummingFunction
    - org.neuroph.core.input.And (implements java.io.Serializable)
    - org.neuroph.core.input.Intensity (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.learning.TrainingElement (implements java.io.Serializable)
    - org.neuroph.core.learning.SupervisedTrainingElement (implements java.io.Serializable)
  - org.neuroph.core.learning.TrainingSet (implements java.io.Serializable)
  - org.neuroph.util.TrainingSetImport
  - org.neuroph.core.transfer.TransferFunction (implements java.io.Serializable)
    - org.neuroph.core.transfer.Gaussian (implements java.io.Serializable)
    - org.neuroph.contrib.IACFunction
    - org.neuroph.core.transfer.Linear (implements java.io.Serializable)
    - 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.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.core.input.WeightsFunction
    - org.neuroph.core.input.Diference (implements java.io.Serializable)
    - org.neuroph.core.input.WeightedInput (implements java.io.Serializable)
  - org.neuroph.samples.XorMultiLayerPerceptronSample

## Enum Hierarchy

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

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