Neuroph
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G

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.
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
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
getE() - Method in class org.neuroph.nnet.learning.StepDeltaRule
Gets the e parametar
getError() - Method in class org.neuroph.core.Neuron
Returns error for this neuron.
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
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
 
getLearningRule() - Method in class org.neuroph.core.NeuralNetwork
Returns the learning algorithm of this network
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
 
getMaxIterations() - Method in class org.neuroph.nnet.comp.CompetitiveLayer
Returns the maxIterations setting for this layer
getMaxOutput() - Method in class org.neuroph.contrib.imgrec.ImageRecognitionPlugin
Returns one or more image labels with the maximum output - recognized images
getMomentum() - Method in class org.neuroph.nnet.learning.MomentumBackpropagation
Returns the momentum factor
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
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(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 on 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
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
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)
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
getTrainingSet() - Method in class org.neuroph.core.learning.LearningRule
Gets training set
getTransferFunction() - Method in class org.neuroph.core.Neuron
Returns transfer function
getTransferFunctionProperties() - Method in class org.neuroph.util.NeuronProperties
 
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
 
getValue() - Method in class org.neuroph.core.Weight
Returns weight value
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

Neuroph
A B C D E F G H I K L M N O P R S T U V W X