Serialized Form (Core 2.96 API)

Package org.neuroph.core
- Class org.neuroph.core.Connection extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - fromNeuron
```
Neuron fromNeuron
```
      From neuron for this connection (source neuron). This connection is output connection for from neuron.
    - toNeuron
```
Neuron toNeuron
```
      To neuron for this connection (target, destination neuron) This connection is input connection for to neuron.
    - weight
```
Weight<T> weight
```
      Weight for this connection
- Class org.neuroph.core.Layer extends Object implements Serializable
  
  serialVersionUID:
  
  4L
  - Serialized Fields
    - parentNetwork
```
NeuralNetwork<L extends LearningRule> parentNetwork
```
      Parent neural network - to which this layer belongs
    - neurons
```
List<E> neurons
```
      Collection of neurons in this layer
    - label
```
String label
```
      Label for this layer
- Class org.neuroph.core.NeuralNetwork extends Object implements Serializable
  
  serialVersionUID:
  
  7L
  - Serialization Methods
    - readObject
```
private void readObject(ObjectInputStream in)
                 throws IOException,
                        ClassNotFoundException
```
      Throws:
      
      IOException
      
      ClassNotFoundException
  - Serialized Fields
    - type
```
NeuralNetworkType type
```
      Network type id (see neuroph.util.NeuralNetworkType).
    - layers
```
List<E> layers
```
      Neural network layers
    - learningRule
```
LearningRule learningRule
```
      Learning rule for this network
    - outputBuffer
```
double[] outputBuffer
```
      Neural network output buffer
    - inputNeurons
```
List<E> inputNeurons
```
      List of network input neurons. These neurons are used to set external input to network.
    - outputNeurons
```
List<E> outputNeurons
```
      List of network output neurons. These neurons are used to read network's output.
    - plugins
```
Map<K,V> plugins
```
      Plugins collection
    - label
```
String label
```
      Network label
    - LOGGER
```
org.slf4j.Logger LOGGER
```
      Neural network logger
- Class org.neuroph.core.Neuron extends Object implements Serializable
  
  serialVersionUID:
  
  4L
  - Serialized Fields
    - parentLayer
```
Layer parentLayer
```
      Parent layer for this neuron
    - inputConnections
```
List<E> inputConnections
```
      Collection of neuron's input connections (connections to this neuron)
    - outConnections
```
List<E> outConnections
```
      Collection of neuron's output connections (connections from this to other neurons)
    - inputFunction
```
InputFunction inputFunction
```
      Input function for this neuron
    - transferFunction
```
TransferFunction transferFunction
```
      Transfer function for this neuron
    - label
```
String label
```
      Neuron's label
- Class org.neuroph.core.Weight extends Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - value
```
double value
```
      Weight value
Package org.neuroph.core.data
- Class org.neuroph.core.data.BufferedDataSet extends DataSet implements Serializable
  - Serialized Fields
    - bufferSize
```
int bufferSize
```
      Buffer size determines how many data rows will be loaded from file at once
    - file
```
File file
```
      File with data set rows
    - fileLinesNumber
```
long fileLinesNumber
```
      Number of lines in the file
    - currentFileLineNumber
```
long currentFileLineNumber
```
      Current line number that we're reading
    - rowsLoaded
```
int rowsLoaded
```
      Number of rows loaded
    - delimiter
```
String delimiter
```
      Delimiter character for values in line
    - fileReader
```
FileReader fileReader
```
      File reader used to read from file
    - bufferedReader
```
BufferedReader bufferedReader
```
      Buffered reader used to read from file
    - bufferedRows
```
List<E> bufferedRows
```
      A reference to the buffered rows (a List collection in superclass)
    - bufferIterator
```
Iterator<E> bufferIterator
```
      Iterator for buffered rowa
- Class org.neuroph.core.data.DataSet extends Object implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - rows
```
List<E> rows
```
      Collection of data rows
    - inputSize
```
int inputSize
```
      Size of the input vector in data set rows
    - outputSize
```
int outputSize
```
      Size of output vector in data set rows
    - columnNames
```
String[] columnNames
```
      Column names/labels
    - isSupervised
```
boolean isSupervised
```
      Flag which indicates if this data set containes data rows for supervised training
    - label
```
String label
```
      Label for this training set
    - columnTypes
```
DataSetColumnType[] columnTypes
```
      Column types for data set
- Class org.neuroph.core.data.DataSetRow extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - input
```
double[] input
```
      Input vector for this training element
    - desiredOutput
```
double[] desiredOutput
```
      Desired output for this training element
    - label
```
String label
```
      Label for this training element
Package org.neuroph.core.events
- Class org.neuroph.core.events.LearningEvent extends EventObject implements Serializable
  - Serialized Fields
    - eventType
```
LearningEvent.Type eventType
```
- Class org.neuroph.core.events.NeuralNetworkEvent extends EventObject implements Serializable
  - Serialized Fields
    - eventType
```
NeuralNetworkEvent.Type eventType
```
Package org.neuroph.core.exceptions
- Class org.neuroph.core.exceptions.NeurophException extends RuntimeException implements Serializable
  
  serialVersionUID:
  
  0L
- Class org.neuroph.core.exceptions.VectorSizeMismatchException extends NeurophException implements Serializable
  
  serialVersionUID:
  
  2L
Package org.neuroph.core.input
- Class org.neuroph.core.input.And extends InputFunction implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.core.input.Difference extends InputFunction implements Serializable
  
  serialVersionUID:
  
  21L
- Class org.neuroph.core.input.EuclideanRBF extends InputFunction implements Serializable
- Class org.neuroph.core.input.InputFunction extends Object implements Serializable
  
  serialVersionUID:
  
  2L
- Class org.neuroph.core.input.Max extends InputFunction implements Serializable
  
  serialVersionUID:
  
  2L
- Class org.neuroph.core.input.Min extends InputFunction implements Serializable
  
  serialVersionUID:
  
  2L
- Class org.neuroph.core.input.Or extends InputFunction implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.core.input.Product extends InputFunction implements Serializable
  
  serialVersionUID:
  
  2L
- Class org.neuroph.core.input.Sum extends InputFunction implements Serializable
  
  serialVersionUID:
  
  2L
- Class org.neuroph.core.input.SumSqr extends InputFunction implements Serializable
  
  serialVersionUID:
  
  2L
- Class org.neuroph.core.input.WeightedSum extends InputFunction implements Serializable
  
  serialVersionUID:
  
  1L
Package org.neuroph.core.learning
- Class org.neuroph.core.learning.IterativeLearning extends LearningRule implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learningRate
```
double learningRate
```
      Learning rate parametar
    - currentIteration
```
int currentIteration
```
      Current iteration counter
    - maxIterations
```
int maxIterations
```
      Max training iterations (when to stopLearning training) TODO: this field should be private, to force use of setMaxIterations from derived classes, so iterationsLimited flag is also set at the sam etime.Wil that break backward compatibility with serialized networks?
    - iterationsLimited
```
boolean iterationsLimited
```
      Flag for indicating if the training iteration number is limited
    - stopConditions
```
List<E> stopConditions
```
- Class org.neuroph.core.learning.LearningRule extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialization Methods
    - readObject
```
private void readObject(ObjectInputStream in)
                 throws IOException,
                        ClassNotFoundException
```
      Throws:
      
      IOException
      
      ClassNotFoundException
  - Serialized Fields
    - neuralNetwork
```
NeuralNetwork<L extends LearningRule> neuralNetwork
```
      Neural network to train
    - LOGGER
```
org.slf4j.Logger LOGGER
```
- Class org.neuroph.core.learning.SupervisedLearning extends IterativeLearning implements Serializable
  
  serialVersionUID:
  
  3L
  - Serialized Fields
    - maxError
```
double maxError
```
      Max allowed network error (condition to stop learning)
    - minErrorChange
```
double minErrorChange
```
      Stopping condition: training stops if total network error change is smaller than minErrorChange for minErrorChangeIterationsLimit number of iterations
    - minErrorChangeIterationsLimit
```
int minErrorChangeIterationsLimit
```
      Stopping condition: training stops if total network error change is smaller than minErrorChange for minErrorChangeStopIterations number of iterations
    - batchMode
```
boolean batchMode
```
      Setting to determine if learning (weights update) is in batch mode. False by default.
    - errorFunction
```
ErrorFunction errorFunction
```
- Class org.neuroph.core.learning.UnsupervisedLearning extends IterativeLearning implements Serializable
  
  serialVersionUID:
  
  1L
Package org.neuroph.core.learning.error
- Class org.neuroph.core.learning.error.MeanAbsoluteError extends Object implements Serializable
- Class org.neuroph.core.learning.error.MeanSquaredError extends Object implements Serializable
  
  serialVersionUID:
  
  1L
Package org.neuroph.core.learning.stop
- Class org.neuroph.core.learning.stop.MaxErrorStop extends Object implements Serializable
  - Serialized Fields
    - learningRule
```
SupervisedLearning learningRule
```
- Class org.neuroph.core.learning.stop.MaxIterationsStop extends Object implements Serializable
  - Serialized Fields
    - learningRule
```
IterativeLearning learningRule
```
- Class org.neuroph.core.learning.stop.SmallErrorChangeStop extends Object implements Serializable
  - Serialized Fields
    - learningRule
```
SupervisedLearning learningRule
```
Package org.neuroph.core.transfer
- Class org.neuroph.core.transfer.Gaussian extends TransferFunction implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - sigma
```
double sigma
```
      The sigma parametetar of the gaussian function
- Class org.neuroph.core.transfer.Linear extends TransferFunction implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - slope
```
double slope
```
      The slope parametetar of the linear function
- Class org.neuroph.core.transfer.Log extends TransferFunction implements Serializable
- Class org.neuroph.core.transfer.Ramp extends TransferFunction implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - slope
```
double slope
```
      The slope parametetar of the ramp function
    - xHigh
```
double xHigh
```
      Threshold for the high output level
    - xLow
```
double xLow
```
      Threshold for the low output level
    - yHigh
```
double yHigh
```
      Output value for the high output level
    - yLow
```
double yLow
```
      Output value for the low output level
- Class org.neuroph.core.transfer.RectifiedLinear extends TransferFunction implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.core.transfer.Sgn extends TransferFunction implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.core.transfer.Sigmoid extends TransferFunction implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - slope
```
double slope
```
      The slope parametetar of the sigmoid function
- Class org.neuroph.core.transfer.Sin extends TransferFunction implements Serializable
- Class org.neuroph.core.transfer.Step extends TransferFunction implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - yHigh
```
double yHigh
```
      Output value for high output level
    - yLow
```
double yLow
```
      Output value for low output level
- Class org.neuroph.core.transfer.Tanh extends TransferFunction implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - slope
```
double slope
```
      The slope parameter of the Tanh function
    - amplitude
```
double amplitude
```
      The amplitude parameter
    - derivativeOutput
```
double derivativeOutput
```
      The output of the getDerivative() function;
- Class org.neuroph.core.transfer.TransferFunction extends Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.core.transfer.Trapezoid extends TransferFunction implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - leftLow
```
double leftLow
```
    - leftHigh
```
double leftHigh
```
    - rightLow
```
double rightLow
```
    - rightHigh
```
double rightHigh
```
Package org.neuroph.eval.classification
- Class org.neuroph.eval.classification.Classifier extends PluginBase implements Serializable
  - Serialized Fields
    - threshold
```
double threshold
```
Package org.neuroph.nnet
- Class org.neuroph.nnet.Adaline extends NeuralNetwork implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.AutoencoderNetwork extends MultiLayerPerceptron implements Serializable
- Class org.neuroph.nnet.BAM extends NeuralNetwork implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.CompetitiveNetwork extends NeuralNetwork implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.ConvolutionalNetwork extends NeuralNetwork<ConvolutionalBackpropagation> implements Serializable
  
  serialVersionUID:
  
  -1393907449047650509L
- Class org.neuroph.nnet.ElmanNetwork extends NeuralNetwork implements Serializable
- Class org.neuroph.nnet.Hopfield extends NeuralNetwork implements Serializable
  
  serialVersionUID:
  
  2L
- Class org.neuroph.nnet.Instar extends NeuralNetwork implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.JordanNetwork extends NeuralNetwork implements Serializable
- Class org.neuroph.nnet.Kohonen extends NeuralNetwork implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.MaxNet extends NeuralNetwork implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.MultiLayerPerceptron extends NeuralNetwork<BackPropagation> implements Serializable
  
  serialVersionUID:
  
  2L
- Class org.neuroph.nnet.NeuroFuzzyPerceptron extends NeuralNetwork implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.Outstar extends NeuralNetwork implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.Perceptron extends NeuralNetwork implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.RBFNetwork extends NeuralNetwork implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.RectifierNeuralNetwork extends NeuralNetwork<BackPropagation> implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.SupervisedHebbianNetwork extends NeuralNetwork implements Serializable
  
  serialVersionUID:
  
  2L
- Class org.neuroph.nnet.UnsupervisedHebbianNetwork extends NeuralNetwork implements Serializable
  
  serialVersionUID:
  
  2L
Package org.neuroph.nnet.comp
- Class org.neuroph.nnet.comp.DelayedConnection extends Connection implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - delay
```
int delay
```
      Delay factor for this conection
- Class org.neuroph.nnet.comp.Dimension2D extends Object implements Serializable
  
  serialVersionUID:
  
  -4491706467345191108L
  - Serialized Fields
    - width
```
int width
```
    - height
```
int height
```
- Class org.neuroph.nnet.comp.Kernel extends Object implements Serializable
  
  serialVersionUID:
  
  -3948374914759253222L
  - Serialized Fields
    - width
```
int width
```
      Kernel width
    - height
```
int height
```
      Kernel height
    - weights
```
Weight<T>[][] weights
```
Package org.neuroph.nnet.comp.layer
- Class org.neuroph.nnet.comp.layer.CompetitiveLayer extends Layer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - maxIterations
```
int maxIterations
```
      Max iterations for neurons to compete This is neccesery to limit, otherwise if there is no winner there will be endless loop.
    - winner
```
CompetitiveNeuron winner
```
      The competition winner for this layer
- Class org.neuroph.nnet.comp.layer.ConvolutionalLayer extends FeatureMapsLayer implements Serializable
  
  serialVersionUID:
  
  -4619196904153707871L
- Class org.neuroph.nnet.comp.layer.FeatureMapLayer extends Layer implements Serializable
  
  serialVersionUID:
  
  2498669699995172395L
  - Serialized Fields
    - dimensions
```
Dimension2D dimensions
```
      Dimensions of this layer (width and height)
    - kernel
```
Kernel kernel
```
      Kernel of this feature map
- Class org.neuroph.nnet.comp.layer.FeatureMapsLayer extends Layer implements Serializable
  
  serialVersionUID:
  
  -6706741997689639209L
  - Serialized Fields
    - mapDimensions
```
Dimension2D mapDimensions
```
      Dimensions for all 2D layers (feature maps)
    - featureMaps
```
List<E> featureMaps
```
      Collection of feature maps
- Class org.neuroph.nnet.comp.layer.InputLayer extends Layer implements Serializable
- Class org.neuroph.nnet.comp.layer.InputMapsLayer extends FeatureMapsLayer implements Serializable
  
  serialVersionUID:
  
  -4982081431101626706L
- Class org.neuroph.nnet.comp.layer.PoolingLayer extends FeatureMapsLayer implements Serializable
  
  serialVersionUID:
  
  -6771501759374920878L
  - Serialized Fields
    - kernel
```
Kernel kernel
```
Package org.neuroph.nnet.comp.neuron
- Class org.neuroph.nnet.comp.neuron.BiasNeuron extends Neuron implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.comp.neuron.CompetitiveNeuron extends DelayedNeuron implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - isCompeting
```
boolean isCompeting
```
      Flag indicates if this neuron is in competing mode
    - connectionsFromOtherLayers
```
List<E> connectionsFromOtherLayers
```
      Collection of conections from neurons in other layers
    - connectionsFromThisLayer
```
List<E> connectionsFromThisLayer
```
      Collection of connections from neurons in the same layer as this neuron (lateral connections used for competition)
- Class org.neuroph.nnet.comp.neuron.DelayedNeuron extends Neuron implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialization Methods
    - readObject
```
private void readObject(ObjectInputStream in)
                 throws IOException,
                        ClassNotFoundException
```
      Throws:
      
      IOException
      
      ClassNotFoundException
- Class org.neuroph.nnet.comp.neuron.InputNeuron extends Neuron implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.comp.neuron.InputOutputNeuron extends Neuron implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - externalInputSet
```
boolean externalInputSet
```
      Flag which is set true if neuron external input is set
    - bias
```
double bias
```
      Bias value for this neuron
- Class org.neuroph.nnet.comp.neuron.ThresholdNeuron extends Neuron implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - thresh
```
double thresh
```
      Threshold value for this neuron
Package org.neuroph.nnet.learning
- Class org.neuroph.nnet.learning.AntiHebbianLearning extends UnsupervisedHebbianLearning implements Serializable
- Class org.neuroph.nnet.learning.BackPropagation extends LMS implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.learning.BinaryDeltaRule extends PerceptronLearning implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - errorCorrection
```
double errorCorrection
```
      The errorCorrection parametar of this learning algorithm
- Class org.neuroph.nnet.learning.BinaryHebbianLearning extends UnsupervisedHebbianLearning implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.learning.CompetitiveLearning extends UnsupervisedLearning implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.learning.ConvolutionalBackpropagation extends MomentumBackpropagation implements Serializable
  
  serialVersionUID:
  
  -7134947805154423695L
- Class org.neuroph.nnet.learning.DynamicBackPropagation extends MomentumBackpropagation implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - maxLearningRate
```
double maxLearningRate
```
    - minLearningRate
```
double minLearningRate
```
    - learningRateChange
```
double learningRateChange
```
    - useDynamicLearningRate
```
boolean useDynamicLearningRate
```
    - maxMomentum
```
double maxMomentum
```
    - minMomentum
```
double minMomentum
```
    - momentumChange
```
double momentumChange
```
    - useDynamicMomentum
```
boolean useDynamicMomentum
```
- Class org.neuroph.nnet.learning.GeneralizedHebbianLearning extends UnsupervisedHebbianLearning implements Serializable
- Class org.neuroph.nnet.learning.HopfieldLearning extends LearningRule implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.learning.InstarLearning extends UnsupervisedHebbianLearning implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.learning.KohonenLearning extends LearningRule implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learningRate
```
double learningRate
```
    - iterations
```
int[] iterations
```
    - decStep
```
double[] decStep
```
    - mapSize
```
int mapSize
```
    - nR
```
int[] nR
```
    - currentIteration
```
int currentIteration
```
- Class org.neuroph.nnet.learning.LMS extends SupervisedLearning implements Serializable
  
  serialVersionUID:
  
  2L
- Class org.neuroph.nnet.learning.ManhattanPropagation extends BackPropagation implements Serializable
- Class org.neuroph.nnet.learning.MomentumBackpropagation extends BackPropagation implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - momentum
```
double momentum
```
      Momentum factor
- Class org.neuroph.nnet.learning.OjaLearning extends UnsupervisedHebbianLearning implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.learning.OutstarLearning extends UnsupervisedHebbianLearning implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.learning.PerceptronLearning extends LMS implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.learning.QuickPropagation extends BackPropagation implements Serializable
  - Serialized Fields
    - maximumGrowthFactor
```
double maximumGrowthFactor
```
- Class org.neuroph.nnet.learning.RBFLearning extends LMS implements Serializable
  - Serialized Fields
    - k
```
int k
```
      how many nearest neighbours to use when determining width (sigma) for gaussian functions
- Class org.neuroph.nnet.learning.ResilientPropagation extends BackPropagation implements Serializable
  - Serialized Fields
    - decreaseFactor
```
double decreaseFactor
```
    - increaseFactor
```
double increaseFactor
```
    - initialDelta
```
double initialDelta
```
    - maxDelta
```
double maxDelta
```
    - minDelta
```
double minDelta
```
- Class org.neuroph.nnet.learning.SigmoidDeltaRule extends LMS implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.learning.SimulatedAnnealingLearning extends SupervisedLearning implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - startTemperature
```
double startTemperature
```
      The starting temperature.
    - stopTemperature
```
double stopTemperature
```
      The ending temperature.
    - cycles
```
int cycles
```
      The number of cycles that will be used.
    - temperature
```
double temperature
```
      The current temperature.
    - weights
```
double[] weights
```
      Current weights from the neural network.
    - bestWeights
```
double[] bestWeights
```
      Best weights so far.
- Class org.neuroph.nnet.learning.SupervisedHebbianLearning extends LMS implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.nnet.learning.UnsupervisedHebbianLearning extends UnsupervisedLearning implements Serializable
  
  serialVersionUID:
  
  1L
Package org.neuroph.util
- Class org.neuroph.util.NeuronProperties extends Properties implements Serializable
  
  serialVersionUID:
  
  2L
- Class org.neuroph.util.Properties extends HashMap implements Serializable
  
  serialVersionUID:
  
  1L
Package org.neuroph.util.data.norm
- Class org.neuroph.util.data.norm.DecimalScaleNormalizer extends Object implements Serializable
  - Serialized Fields
    - maxIn
```
double[] maxIn
```
      Max values for input and output vectors
    - maxOut
```
double[] maxOut
```
      Max values for input and output vectors
    - scaleFactorIn
```
double[] scaleFactorIn
```
      Scaling values for input and output vectors
    - scaleFactorOut
```
double[] scaleFactorOut
```
      Scaling values for input and output vectors
- Class org.neuroph.util.data.norm.MaxMinNormalizer extends Object implements Serializable
  - Serialized Fields
    - maxIn
```
double[] maxIn
```
    - maxOut
```
double[] maxOut
```
    - minIn
```
double[] minIn
```
    - minOut
```
double[] minOut
```
- Class org.neuroph.util.data.norm.MaxNormalizer extends Object implements Serializable
  - Serialized Fields
    - maxIn
```
double[] maxIn
```
      Max values for input and output vectors
    - maxOut
```
double[] maxOut
```
      Max values for input and output vectors
    - intialized
```
boolean intialized
```
      Flag to indicate that normalizer is initialized
- Class org.neuroph.util.data.norm.RangeNormalizer extends Object implements Serializable
  - Serialized Fields
    - lowLimit
```
double lowLimit
```
    - highLimit
```
double highLimit
```
    - maxIn
```
double[] maxIn
```
    - maxOut
```
double[] maxOut
```
    - minIn
```
double[] minIn
```
    - minOut
```
double[] minOut
```
- Class org.neuroph.util.data.norm.ZeroMeanNormalizer extends Object implements Serializable
  - Serialized Fields
    - maxInput
```
double[] maxInput
```
    - minInput
```
double[] minInput
```
    - meanInput
```
double[] meanInput
```
    - stdInput
```
double[] stdInput
```
Package org.neuroph.util.io
- Class org.neuroph.util.io.NeurophInputException extends NeurophException implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.neuroph.util.io.NeurophOutputException extends NeurophException implements Serializable
  
  serialVersionUID:
  
  1L
Package org.neuroph.util.plugins
- Class org.neuroph.util.plugins.PluginBase extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - name
```
String name
```
      Name for this plugin
    - parentNetwork
```
NeuralNetwork<L extends LearningRule> parentNetwork
```
      Reference to parent neural network

Serialized Form

Package org.neuroph.core

Class org.neuroph.core.Connection extends Object implements Serializable

Serialized Fields

fromNeuron

toNeuron

weight

Class org.neuroph.core.Layer extends Object implements Serializable

Serialized Fields

parentNetwork

neurons

label

Class org.neuroph.core.NeuralNetwork extends Object implements Serializable

Serialization Methods

readObject

Serialized Fields

type

layers

learningRule

outputBuffer

inputNeurons

outputNeurons

plugins

label

LOGGER

Class org.neuroph.core.Neuron extends Object implements Serializable

Serialized Fields

parentLayer

inputConnections

outConnections

inputFunction

transferFunction

label

Class org.neuroph.core.Weight extends Object implements Serializable

Serialized Fields

value

Package org.neuroph.core.data

Class org.neuroph.core.data.BufferedDataSet extends DataSet implements Serializable

Serialized Fields

bufferSize

file

fileLinesNumber

currentFileLineNumber

rowsLoaded

delimiter

fileReader

bufferedReader

bufferedRows

bufferIterator

Class org.neuroph.core.data.DataSet extends Object implements Serializable

Serialized Fields

rows

inputSize

outputSize

columnNames

isSupervised

label

columnTypes

Class org.neuroph.core.data.DataSetRow extends Object implements Serializable

Serialized Fields

input

desiredOutput

label

Package org.neuroph.core.events

Class org.neuroph.core.events.LearningEvent extends EventObject implements Serializable

Serialized Fields

eventType

Class org.neuroph.core.events.NeuralNetworkEvent extends EventObject implements Serializable

Serialized Fields

eventType

Package org.neuroph.core.exceptions

Class org.neuroph.core.exceptions.NeurophException extends RuntimeException implements Serializable

Class org.neuroph.core.exceptions.VectorSizeMismatchException extends NeurophException implements Serializable

Package org.neuroph.core.input

Class org.neuroph.core.input.And extends InputFunction implements Serializable

Class org.neuroph.core.input.Difference extends InputFunction implements Serializable

Class org.neuroph.core.input.EuclideanRBF extends InputFunction implements Serializable

Class org.neuroph.core.input.InputFunction extends Object implements Serializable

Class org.neuroph.core.input.Max extends InputFunction implements Serializable

Class org.neuroph.core.input.Min extends InputFunction implements Serializable