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Gaussian
- Class in
org.neuroph.core.transfer
Gaussian neuron transfer function.
Gaussian()
- Constructor for class org.neuroph.core.transfer.
Gaussian
Creates an instance of Gaussian neuron transfer
Gaussian(Properties)
- Constructor for class org.neuroph.core.transfer.
Gaussian
Creates an instance of Gaussian neuron transfer function with the specified properties.
GenerateSet
- Class in
org.neuroph.samples.timeseries
Very simple basic class which wraps the data generation process for the Time-Series Prediction tutorial.
GenerateSet(String, boolean, int, int)
- Constructor for class org.neuroph.samples.timeseries.
GenerateSet
Contructor for datase set generator which takes filename and data set settings as arguments
GenerateSineWave
- Class in
org.neuroph.samples.timeseries
Very simple class which just wraps up the generation of a sine wave at one degree steps.
GenerateTrainingSets
- Class in
org.neuroph.samples.timeseries
Very simple class which just wraps up the generation of the time-series predicition training sets.
GenerateTrainingSets()
- Constructor for class org.neuroph.samples.timeseries.
GenerateTrainingSets
getBias()
- Method in class org.neuroph.nnet.comp.
InputOutputNeuron
Returns bias value for this neuron
getBlueValues()
- Method in class org.neuroph.contrib.imgrec.
FractionRgbData
Returns blue color component for the entire image
getColorMode()
- Method in class org.neuroph.contrib.imgrec.
ImageRecognitionPlugin
Returns color mode used for image recognition
getColorMode()
- Method in class org.neuroph.contrib.ocr.
OcrPlugin
Returns color mode used for OCR
getConnectedNeuron()
- Method in class org.neuroph.core.
Connection
Returns the connected neuron of this connection
getConnectionFrom(Neuron)
- Method in class org.neuroph.core.
Neuron
Gets input connection from the specified neuron * @param fromNeuron neuron connected to this neuron as input
getConnectionsFromOtherLayers()
- Method in class org.neuroph.nnet.comp.
CompetitiveNeuron
Returns collection of connections from other layers
getCurrentIteration()
- Method in class org.neuroph.core.learning.
IterativeLearning
Returns current iteration of this learning algorithm
getDelay()
- Method in class org.neuroph.nnet.comp.
DelayedConnection
Returns delay value for this connection
getDerivative(double)
- Method in class org.neuroph.core.transfer.
Gaussian
getDerivative(double)
- Method in class org.neuroph.core.transfer.
Linear
getDerivative(double)
- Method in class org.neuroph.core.transfer.
Sigmoid
getDerivative(double)
- Method in class org.neuroph.core.transfer.
Tanh
getDerivative(double)
- Method in class org.neuroph.core.transfer.
TransferFunction
Returns the first derivative of this function.
getDesiredOutput()
- Method in class org.neuroph.core.learning.
SupervisedTrainingElement
Returns desired output for this training element
getError()
- Method in class org.neuroph.core.
Neuron
Returns error for this neuron.
getErrorCorrection()
- Method in class org.neuroph.nnet.learning.
BinaryDeltaRule
Gets the errorCorrection parametar
getFilePath()
- Method in class org.neuroph.core.learning.
TrainingSet
Returns full file path for this training set
getFlattenedRgbValues()
- Method in class org.neuroph.contrib.imgrec.
FractionRgbData
Returns rgb data in a form: all red rows, all green rows, all blue rows
getFractionRgbDataForImages(HashMap<String, BufferedImage>)
- Static method in class org.neuroph.contrib.ocr.
OcrUtils
Returns RGB data for all input images
getGreenValues()
- Method in class org.neuroph.contrib.imgrec.
FractionRgbData
Returns green color component for the entire image
getHeight()
- Method in class org.neuroph.contrib.imgrec.
FractionRgbData
Get image height
getInput()
- Method in class org.neuroph.core.
Connection
Returns input received through this connection - the activation that comes from the output of the cell on the other end of connection
getInput()
- Method in class org.neuroph.core.learning.
TrainingElement
Returns input vector
getInput()
- Method in class org.neuroph.nnet.comp.
DelayedConnection
Gets delayed input through this connection
getInputConnections()
- Method in class org.neuroph.core.
Neuron
Returns input connections for this neuron as Vector collection
getInputFunction()
- Method in class org.neuroph.core.
Neuron
Returns input function
getInputNeurons()
- Method in class org.neuroph.core.
NeuralNetwork
Gets reference to input neurons Vector.
getInputsIterator()
- Method in class org.neuroph.core.
Neuron
Returns Iterator interface for accessing input connections
getIteration()
- Method in class org.neuroph.nnet.learning.
KohonenLearning
getLabel()
- Method in class org.neuroph.core.learning.
TrainingElement
Get training element label
getLabel()
- Method in class org.neuroph.core.learning.
TrainingSet
Returns label for this training set
getLabel(Object)
- Method in class org.neuroph.util.plugins.
LabelsPlugin
Returns label for the specified object
getLayerAt(int)
- Method in class org.neuroph.core.
NeuralNetwork
Returns layer at specified index
getLayers()
- Method in class org.neuroph.core.
NeuralNetwork
Returns getLayersIterator Vector collection
getLayersCount()
- Method in class org.neuroph.core.
NeuralNetwork
Returns number of layers in network
getLayersIterator()
- Method in class org.neuroph.core.
NeuralNetwork
Returns interface for iterating layers
getLearningRate()
- Method in class org.neuroph.core.learning.
IterativeLearning
Returns learning rate for this algorithm
getLearningRate()
- Method in class org.neuroph.nnet.learning.
KohonenLearning
getLearningRateChange()
- Method in class org.neuroph.nnet.learning.
DynamicBackPropagation
getLearningRule()
- Method in class org.neuroph.core.
NeuralNetwork
Returns the learning algorithm of this network
getLearningThread()
- Method in class org.neuroph.core.
NeuralNetwork
Returns the current learning thread (if it is learning in the new thread Check what happens if it learns in the same thread)
getLeftHigh()
- Method in class org.neuroph.core.transfer.
Trapezoid
Returns left high point of trapezoid function
getLeftLow()
- Method in class org.neuroph.core.transfer.
Trapezoid
Returns left low point of trapezoid function
getMapSize()
- Method in class org.neuroph.nnet.learning.
KohonenLearning
getMaxCounter()
- Method in class org.neuroph.samples.stockmarket.
StockFileReader
getMaxCounter()
- Method in class org.neuroph.samples.stockmarket.
StockSocketReader
getMaxError()
- Method in class org.neuroph.core.learning.
SupervisedLearning
Returns learning error tolerance - the value of total network error to stop learning.
getMaxIterations()
- Method in class org.neuroph.nnet.comp.
CompetitiveLayer
Returns the maxIterations setting for this layer
getMaxLearningRate()
- Method in class org.neuroph.nnet.learning.
DynamicBackPropagation
getMaxMomentum()
- Method in class org.neuroph.nnet.learning.
DynamicBackPropagation
getMaxOutput()
- Method in class org.neuroph.contrib.imgrec.
ImageRecognitionPlugin
Returns one or more image labels with the maximum output - recognized images
getMinErrorChange()
- Method in class org.neuroph.core.learning.
SupervisedLearning
Returns min error change stopping criteria
getMinErrorChangeIterationsCount()
- Method in class org.neuroph.core.learning.
SupervisedLearning
Returns number of iterations count for for min error change stopping criteria
getMinErrorChangeIterationsLimit()
- Method in class org.neuroph.core.learning.
SupervisedLearning
Returns number of iterations for min error change stopping criteria
getMinLearningRate()
- Method in class org.neuroph.nnet.learning.
DynamicBackPropagation
getMinMomentum()
- Method in class org.neuroph.nnet.learning.
DynamicBackPropagation
getMomentum()
- Method in class org.neuroph.nnet.learning.
MomentumBackpropagation
Returns the momentum factor
getMomentumChange()
- Method in class org.neuroph.nnet.learning.
DynamicBackPropagation
getName()
- Method in class org.neuroph.util.plugins.
PluginBase
Returns the name of this plugin
getNetInput()
- Method in class org.neuroph.core.
Neuron
Returns total net input
getNetwork(String)
- Method in class org.neuroph.nnet.
ModularNetwork
Gets neural network
getNetworkType()
- Method in class org.neuroph.core.
NeuralNetwork
Returns type of this network
getNeuralNetwork()
- Method in class org.neuroph.core.learning.
LearningRule
Gets neural network
getNeuronAt(int)
- Method in class org.neuroph.core.
Layer
Returns neuron at specified index position in this layer
getNeurons()
- Method in class org.neuroph.core.
Layer
Returns collection of neurons in this layer
getNeuronsCount()
- Method in class org.neuroph.core.
Layer
Returns number of neurons in this layer
getNeuronsIterator()
- Method in class org.neuroph.core.
Layer
Returns interface for iterating neurons in this layer
getNeuronType()
- Method in class org.neuroph.util.
NeuronProperties
getNextSample()
- Method in class org.neuroph.samples.timeseries.
GenerateSineWave
Gets next sampling value for the sine wave
getNormalizer()
- Method in class org.neuroph.samples.stockmarket.
TrainingData
getOutConnections()
- Method in class org.neuroph.core.
Neuron
Returns output connections from this neuron
getOutput(double, double)
- Method in class org.neuroph.contrib.
IACFunction
getOutput(double)
- Method in class org.neuroph.contrib.
IACFunction
getOutput()
- Method in class org.neuroph.contrib.imgrec.
ImageRecognitionPlugin
Returns image recognition result as map with image labels as keys and recogition result as value
getOutput(Vector<Double>)
- Method in class org.neuroph.core.input.
And
getOutput(Vector<Connection>)
- Method in class org.neuroph.core.input.
Diference
getOutput(Vector<Connection>)
- Method in class org.neuroph.core.input.
InputFunction
Returns ouput value of this input function for the given neuron inputs
getOutput(Vector<Double>)
- Method in class org.neuroph.core.input.
Intensity
getOutput(Vector<Double>)
- Method in class org.neuroph.core.input.
Max
getOutput(Vector<Double>)
- Method in class org.neuroph.core.input.
Min
getOutput(Vector<Double>)
- Method in class org.neuroph.core.input.
Or
getOutput(Vector<Double>)
- Method in class org.neuroph.core.input.
Product
getOutput(Vector<Double>)
- Method in class org.neuroph.core.input.
Sum
getOutput(Vector<Double>)
- Method in class org.neuroph.core.input.
SummingFunction
Returns summing function output
getOutput(Vector<Double>)
- Method in class org.neuroph.core.input.
SumSqr
getOutput(Vector<Connection>)
- Method in class org.neuroph.core.input.
WeightedInput
Returns weighted input vector.
getOutput(Vector<Connection>)
- Method in class org.neuroph.core.input.
WeightsFunction
Returns function's output
getOutput()
- Method in class org.neuroph.core.
NeuralNetwork
Returns network output Vector.
getOutput()
- Method in class org.neuroph.core.
Neuron
Returns neuron's output
getOutput(double)
- Method in class org.neuroph.core.transfer.
Gaussian
getOutput(double)
- Method in class org.neuroph.core.transfer.
Linear
getOutput(double)
- Method in class org.neuroph.core.transfer.
Ramp
getOutput(double)
- Method in class org.neuroph.core.transfer.
Sgn
y = 1, x > 0 y = -1, x <= 0
getOutput(double)
- Method in class org.neuroph.core.transfer.
Sigmoid
getOutput(double)
- Method in class org.neuroph.core.transfer.
Step
getOutput(double)
- Method in class org.neuroph.core.transfer.
Tanh
getOutput(double)
- Method in class org.neuroph.core.transfer.
TransferFunction
Returns the ouput of this function.
getOutput(double)
- Method in class org.neuroph.core.transfer.
Trapezoid
getOutput()
- Method in class org.neuroph.nnet.comp.
BiasNeuron
getOutput(int)
- Method in class org.neuroph.nnet.comp.
DelayedNeuron
Returns neuron output with the specified delay
getOutputAsArray()
- Method in class org.neuroph.core.
NeuralNetwork
Returns network output vector as double array
getOutputNeurons()
- Method in class org.neuroph.core.
NeuralNetwork
Returns reference to output neurons Vector.
getParentLayer()
- Method in class org.neuroph.core.
Neuron
Returns reference to parent layer for this neuron
getParentNetwork()
- Method in class org.neuroph.core.
Layer
Returns reference to parent network
getParentNetwork()
- Method in class org.neuroph.util.plugins.
PluginBase
Returns the parent network for this plugin
getPatternError(Vector<Double>, Vector<Double>)
- Method in class org.neuroph.core.learning.
SupervisedLearning
Calculates the network error for the current pattern - diference between desired and actual output
getPlugin(String)
- Method in class org.neuroph.core.
NeuralNetwork
Returns the requested plugin
getPreviousEpochError()
- Method in class org.neuroph.core.learning.
SupervisedLearning
Returns total network error in previous learning epoch
getPreviousValue()
- Method in class org.neuroph.core.
Weight
Returns previous weight value
getProperties()
- Method in class org.neuroph.core.transfer.
Sgn
Returns the properties of this function
getProperties()
- Method in class org.neuroph.core.transfer.
Step
Returns the properties of this function
getProperty(String)
- Method in class org.neuroph.util.
Properties
getRedValues()
- Method in class org.neuroph.contrib.imgrec.
FractionRgbData
Returns red color component for the entire image
getRightHigh()
- Method in class org.neuroph.core.transfer.
Trapezoid
Returns right high point of trapezoid function
getRightLow()
- Method in class org.neuroph.core.transfer.
Trapezoid
Returns right low point of trapezoid function
getSamplingResolution()
- Method in class org.neuroph.contrib.imgrec.
ImageRecognitionPlugin
Returns image sampling resolution (dimensions)
getSamplingResolution()
- Method in class org.neuroph.contrib.ocr.
OcrPlugin
Returns sampling resolution used for OCR
getSigma()
- Method in class org.neuroph.core.transfer.
Gaussian
Returns the sigma parametar of this function
getSlope()
- Method in class org.neuroph.core.transfer.
Linear
Returns the slope parametar of this function
getSlope()
- Method in class org.neuroph.core.transfer.
Sigmoid
Returns the slope parametar of this function
getSlope()
- Method in class org.neuroph.core.transfer.
Tanh
Returns the slope parametar of this function
getSummingFunction()
- Method in class org.neuroph.core.input.
InputFunction
Returns summing function component of this InputFunction
getSummingFunction()
- Method in class org.neuroph.util.
NeuronProperties
getThresh()
- Method in class org.neuroph.nnet.comp.
ThresholdNeuron
Returns threshold value for this neuron
getTotalNetworkError()
- Method in class org.neuroph.core.learning.
SupervisedLearning
Returns total network error in current learning epoch
getTrainingSet()
- Method in class org.neuroph.core.learning.
LearningRule
Gets training set
getTrainingSet()
- Method in class org.neuroph.samples.stockmarket.
TrainingData
getTransferFunction()
- Method in class org.neuroph.core.
Neuron
Returns transfer function
getTransferFunction()
- Method in class org.neuroph.util.
NeuronProperties
getTransferFunctionProperties()
- Method in class org.neuroph.util.
NeuronProperties
getTsleep()
- Method in class org.neuroph.samples.stockmarket.
StockSocketReader
getTypeClass()
- Method in enum org.neuroph.util.
SummingFunctionType
getTypeClass()
- Method in enum org.neuroph.util.
TransferFunctionType
getTypeClass()
- Method in enum org.neuroph.util.
WeightsFunctionType
getTypeLabel()
- Method in enum org.neuroph.util.
NeuralNetworkType
getTypeLabel()
- Method in enum org.neuroph.util.
SummingFunctionType
getTypeLabel()
- Method in enum org.neuroph.util.
TransferFunctionType
getTypeLabel()
- Method in enum org.neuroph.util.
WeightsFunctionType
getUseDynamicLearningRate()
- Method in class org.neuroph.nnet.learning.
DynamicBackPropagation
getUseDynamicMomentum()
- Method in class org.neuroph.nnet.learning.
DynamicBackPropagation
getValue()
- Method in class org.neuroph.core.
Weight
Returns weight value
getValuesRow()
- Method in class org.neuroph.samples.stockmarket.
StockFileReader
getValuesRow()
- Method in class org.neuroph.samples.stockmarket.
StockSocketReader
getValuesRow()
- Method in class org.neuroph.samples.stockmarket.
TrainingData
getWeight()
- Method in class org.neuroph.core.
Connection
Returns weight for this connection
getWeightedInput()
- Method in class org.neuroph.core.
Connection
Returns the weighted input received through this connection
getWeightsFunction()
- Method in class org.neuroph.core.input.
InputFunction
Returns weights functioncomponent of this InputFunction
getWeightsFunction()
- Method in class org.neuroph.util.
NeuronProperties
getWeightsVector()
- Method in class org.neuroph.core.
Neuron
Returns weights vector of input connections
getWidth()
- Method in class org.neuroph.contrib.imgrec.
FractionRgbData
Get image width
getWinner()
- Method in class org.neuroph.nnet.comp.
CompetitiveLayer
Returns the winning neuron for this layer
getXHigh()
- Method in class org.neuroph.core.transfer.
Ramp
Returns threshold value for the high output level
getXLow()
- Method in class org.neuroph.core.transfer.
Ramp
Returns threshold value for the low output level
getYHigh()
- Method in class org.neuroph.core.transfer.
Ramp
Returns output value for high output level
getYHigh()
- Method in class org.neuroph.core.transfer.
Step
Returns output value for high output level
getYLow()
- Method in class org.neuroph.core.transfer.
Ramp
Returns output value for low output level
getYLow()
- Method in class org.neuroph.core.transfer.
Step
Returns output value for low output level
greenValues
- Variable in class org.neuroph.contrib.imgrec.
FractionRgbData
Array which contains green componenet of the color for each image pixel
Overview
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Neuroph
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