Hierarchy For All Packages

Package Hierarchies:

• org.neuroph.core,
• org.neuroph.core.data,
• org.neuroph.core.events,
• org.neuroph.core.exceptions,
• org.neuroph.core.input,
• org.neuroph.core.learning,
• org.neuroph.core.learning.error,
• org.neuroph.core.learning.stop,
• org.neuroph.core.transfer,
• org.neuroph.eval,
• org.neuroph.eval.classification,
• org.neuroph.nnet,
• org.neuroph.nnet.comp,
• org.neuroph.nnet.comp.layer,
• org.neuroph.nnet.comp.neuron,
• org.neuroph.nnet.learning,
• org.neuroph.nnet.learning.kmeans,
• org.neuroph.nnet.learning.knn,
• org.neuroph.util,
• org.neuroph.util.benchmark,
• org.neuroph.util.data.norm,
• org.neuroph.util.data.sample,
• org.neuroph.util.io,
• org.neuroph.util.plugins,
• org.neuroph.util.random

Class Hierarchy

• java.lang.Object
  • java.util.AbstractMap<K,V> (implements java.util.Map<K,V>)
    • java.util.HashMap<K,V> (implements java.lang.Cloneable, java.util.Map<K,V>, java.io.Serializable)
      • org.neuroph.util.Properties
        • org.neuroph.util.NeuronProperties
  • 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.eval.classification.ClassificationMetrics
  • org.neuroph.eval.classification.ClassificationMetrics.Stats
  • org.neuroph.eval.classification.ClassificationResult
  • org.neuroph.eval.ClassifierEvaluator (implements org.neuroph.eval.Evaluator<T>)
    • org.neuroph.eval.ClassifierEvaluator.Binary
    • org.neuroph.eval.ClassifierEvaluator.MultiClass
  • org.neuroph.nnet.learning.kmeans.Cluster
  • org.neuroph.eval.classification.ConfusionMatrix
  • org.neuroph.core.Connection (implements java.io.Serializable)
    • org.neuroph.nnet.comp.DelayedConnection
  • org.neuroph.util.ConnectionFactory
  • org.neuroph.nnet.ConvolutionalNetwork.Builder
  • org.neuroph.nnet.comp.ConvolutionalUtils
  • org.neuroph.eval.CrossValidationBak
  • org.neuroph.core.data.DataSet (implements javax.visrec.ml.data.DataSet<E>, java.io.Serializable)
    • org.neuroph.core.data.BufferedDataSet (implements java.util.Iterator<E>)
  • org.neuroph.core.data.DataSetRow (implements java.io.Serializable)
  • org.neuroph.core.data.DataSets
  • org.neuroph.util.DataSetStatistics
  • org.neuroph.util.DataSetStats
  • org.neuroph.util.data.norm.DecimalScaleNormalizer (implements org.neuroph.util.data.norm.Normalizer, java.io.Serializable)
  • org.neuroph.nnet.comp.Dimension2D (implements java.io.Serializable)
  • org.neuroph.eval.ErrorEvaluator (implements org.neuroph.eval.Evaluator<T>)
  • org.neuroph.eval.Evaluation
  • org.neuroph.eval.EvaluationResult
  • java.util.EventObject (implements java.io.Serializable)
    • org.neuroph.core.events.LearningEvent
    • org.neuroph.core.events.NeuralNetworkEvent
  • org.neuroph.eval.FoldResult
  • 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.EuclideanRBF
    • 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.nnet.comp.Kernel (implements java.io.Serializable)
  • org.neuroph.eval.KFoldCrossValidation
  • org.neuroph.nnet.learning.kmeans.KMeansClustering
  • org.neuroph.nnet.learning.knn.KNearestNeighbour
  • org.neuroph.nnet.learning.kmeans.KVector
  • org.neuroph.core.Layer (implements java.lang.Iterable<T>, java.io.Serializable)
    • org.neuroph.nnet.comp.layer.CompetitiveLayer
    • org.neuroph.nnet.comp.layer.FeatureMapLayer
    • org.neuroph.nnet.comp.layer.FeatureMapsLayer
      • org.neuroph.nnet.comp.layer.ConvolutionalLayer
      • org.neuroph.nnet.comp.layer.InputMapsLayer
      • org.neuroph.nnet.comp.layer.PoolingLayer
    • 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.BackPropagation
            • org.neuroph.nnet.learning.ManhattanPropagation
            • org.neuroph.nnet.learning.MomentumBackpropagation
              • org.neuroph.nnet.learning.ConvolutionalBackpropagation
              • org.neuroph.nnet.learning.DynamicBackPropagation
            • org.neuroph.nnet.learning.QuickPropagation
            • org.neuroph.nnet.learning.ResilientPropagation
          • org.neuroph.nnet.learning.PerceptronLearning
            • org.neuroph.nnet.learning.BinaryDeltaRule
          • org.neuroph.nnet.learning.RBFLearning
          • org.neuroph.nnet.learning.SigmoidDeltaRule
          • 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.core.learning.stop.MaxErrorStop (implements java.io.Serializable, org.neuroph.core.learning.stop.StopCondition)
  • org.neuroph.core.learning.stop.MaxIterationsStop (implements java.io.Serializable, org.neuroph.core.learning.stop.StopCondition)
  • org.neuroph.util.data.norm.MaxMinNormalizer (implements org.neuroph.util.data.norm.Normalizer, java.io.Serializable)
  • org.neuroph.util.data.norm.MaxNormalizer (implements org.neuroph.util.data.norm.Normalizer, java.io.Serializable)
  • org.neuroph.eval.classification.McNemarTest
  • org.neuroph.core.learning.error.MeanAbsoluteError (implements org.neuroph.core.learning.error.ErrorFunction, java.io.Serializable)
  • org.neuroph.core.learning.error.MeanSquaredError (implements org.neuroph.core.learning.error.ErrorFunction, java.io.Serializable)
  • org.neuroph.nnet.learning.MomentumBackpropagation.MomentumTrainingData
  • org.neuroph.core.NeuralNetwork<L> (implements java.io.Serializable)
    • org.neuroph.nnet.Adaline
    • org.neuroph.nnet.BAM
    • org.neuroph.nnet.CompetitiveNetwork
    • org.neuroph.nnet.ConvolutionalNetwork
    • org.neuroph.nnet.ElmanNetwork
    • org.neuroph.nnet.Hopfield
    • org.neuroph.nnet.Instar
    • org.neuroph.nnet.JordanNetwork
    • org.neuroph.nnet.Kohonen
    • org.neuroph.nnet.MaxNet
    • org.neuroph.nnet.MultiLayerPerceptron
      • org.neuroph.nnet.AutoencoderNetwork
    • org.neuroph.nnet.NeuroFuzzyPerceptron
    • org.neuroph.nnet.Outstar
    • org.neuroph.nnet.Perceptron
    • org.neuroph.nnet.RBFNetwork
    • org.neuroph.nnet.RectifierNeuralNetwork
    • org.neuroph.nnet.SupervisedHebbianNetwork
    • org.neuroph.nnet.UnsupervisedHebbianNetwork
  • org.neuroph.util.NeuralNetworkCODEC
  • org.neuroph.util.NeuralNetworkFactory
  • org.neuroph.core.Neuron (implements java.lang.Cloneable, 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
  • 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.eval.classification.Classifier
  • org.neuroph.nnet.learning.QuickPropagation.QuickPropData
  • org.neuroph.util.data.norm.RangeNormalizer (implements org.neuroph.util.data.norm.Normalizer, java.io.Serializable)
  • org.neuroph.nnet.learning.ResilientPropagation.ResilientWeightTrainingtData
  • org.neuroph.core.learning.stop.SmallErrorChangeStop (implements java.io.Serializable, org.neuroph.core.learning.stop.StopCondition)
  • org.neuroph.util.benchmark.Stopwatch
  • org.neuroph.util.data.sample.SubSampling (implements org.neuroph.util.data.sample.Sampling)
  • 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.RectifiedLinear
    • 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.eval.classification.Utils
  • org.neuroph.util.VectorParser
  • org.neuroph.core.Weight<T> (implements java.lang.Cloneable, java.io.Serializable)
  • org.neuroph.util.random.WeightsRandomizer
    • org.neuroph.util.random.DistortRandomizer
    • org.neuroph.util.random.GaussianRandomizer
    • org.neuroph.util.random.HeZhangRenSunUniformWeightsRandomizer
    • org.neuroph.util.random.RangeRandomizer
      • org.neuroph.util.random.NguyenWidrowRandomizer
  • org.neuroph.util.data.norm.ZeroMeanNormalizer (implements org.neuroph.util.data.norm.Normalizer, java.io.Serializable)

Interface Hierarchy

• org.neuroph.core.learning.error.ErrorFunction
• org.neuroph.eval.Evaluator<T>
• java.util.EventListener
  • org.neuroph.core.events.LearningEventListener
  • org.neuroph.core.events.NeuralNetworkEventListener
• org.neuroph.util.io.InputAdapter
• org.neuroph.util.data.norm.Normalizer
• org.neuroph.util.io.OutputAdapter
• org.neuroph.util.data.sample.Sampling
• org.neuroph.core.learning.stop.StopCondition

Enum Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
    • org.neuroph.core.events.NeuralNetworkEvent.Type
    • org.neuroph.core.events.LearningEvent.Type
    • org.neuroph.util.TransferFunctionType
    • org.neuroph.util.NeuralNetworkType
    • org.neuroph.util.DataSetColumnType