Neuroph
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R

Ramp - Class in org.neuroph.core.transfer
Ramp neuron transfer function.
Ramp() - Constructor for class org.neuroph.core.transfer.Ramp
Creates an instance of Ramp transfer function with default settings
Ramp(double, double, double, double, double) - Constructor for class org.neuroph.core.transfer.Ramp
Creates an instance of Ramp transfer function with specified settings
Ramp(Properties) - Constructor for class org.neuroph.core.transfer.Ramp
Creates an instance of Ramp transfer function with specified properties.
randomize() - Method in class org.neuroph.core.Weight
Sets random weight value
randomizeInputWeights() - Method in class org.neuroph.core.Neuron
Randomize all input weights
randomizeWeights() - Method in class org.neuroph.core.Layer
Randomize input connection weights for all neurons in this layer
randomizeWeights() - Method in class org.neuroph.core.NeuralNetwork
Randomizes connection weights for the whole network
RbfNetwork - Class in org.neuroph.nnet
Radial basis function neural network.
RbfNetwork(int, int, int) - Constructor for class org.neuroph.nnet.RbfNetwork
Creates new RbfNetwork with specified number of neurons in input, rbf and output layer
readStringFromFile(File) - Static method in class org.neuroph.util.FileUtils
 
recognizeImage(BufferedImage) - Method in class org.neuroph.contrib.imgrec.ImageRecognitionPlugin
This method performs the image recognition for specified image.
recognizeImage(File) - Method in class org.neuroph.contrib.imgrec.ImageRecognitionPlugin
This method performs the image recognition for specified image file.
recognizeImage(URL) - Method in class org.neuroph.contrib.imgrec.ImageRecognitionPlugin
This method performs the image recognition for specified image URL.
RecommenderNetwork - Class in org.neuroph.contrib
E-commerce recommender neural network based on hebbian learning.
RecommenderNetwork() - Constructor for class org.neuroph.contrib.RecommenderNetwork
 
redValues - Variable in class org.neuroph.contrib.imgrec.FractionRgbData
Array which contains red componenet of the color for each image pixel
removeElementAt(int) - Method in class org.neuroph.core.learning.TrainingSet
Removes training element at specified index position
removeInputConnectionFrom(Neuron) - Method in class org.neuroph.core.Neuron
Removes input connection which is connected to specified neuron
removeLayer(Layer) - Method in class org.neuroph.core.NeuralNetwork
Removes specified layer from network
removeLayerAt(int) - Method in class org.neuroph.core.NeuralNetwork
Removes layer at specified index position from net
removeNetwork(String) - Method in class org.neuroph.nnet.ModularNetwork
Removes neural network
removeNeuron(Neuron) - Method in class org.neuroph.core.Layer
Removes neuron from layer
removeNeuronAt(int) - Method in class org.neuroph.core.Layer
Removes neuron at specified index position in this layer
removePlugin(String) - Method in class org.neuroph.core.NeuralNetwork
Removes the plugin with specified name
reset() - Method in class org.neuroph.core.Layer
Resets the activation and input levels for all neurons in this layer
reset() - Method in class org.neuroph.core.NeuralNetwork
Resets the activation levels for whole network
reset() - Method in class org.neuroph.core.Neuron
Sets input and output activation levels to zero
reset() - Method in class org.neuroph.nnet.comp.CompetitiveNeuron
Resets the input, output and mode for this neuron
run() - Method in class org.neuroph.core.learning.LearningRule
Method from Runnable interface for running learning procedure in separate thread.
run() - Method in class org.neuroph.core.NeuralNetwork
Implementation of Runnable interface for calculating network in the separate thread.

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