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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
randomize(double, double) - Method in class org.neuroph.core.Weight
  Sets random weight value within specified interval
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
read(String) - Method in class org.neuroph.samples.stockmarket.StockFileReader
readStringFromFile(File) - Static method in class org.neuroph.util.FileUtils
recognizeCharacter(BufferedImage, Dimension) - Method in class org.neuroph.contrib.ocr.OcrPlugin
  This method scales character image to the given dimensions and then does the character recognition.
recognizeCharacter(BufferedImage) - Method in class org.neuroph.contrib.ocr.OcrPlugin
  Recognizes character from the image and returns character
recognizeCharacterProbabilities(BufferedImage) - Method in class org.neuroph.contrib.ocr.OcrPlugin
  Recogize the character from the image and returns HashMap with keys as characters and recognition probability as values sorted descending by probability.
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.learning.IterativeLearning
  Reset the iteration counter
reset() - Method in class org.neuroph.core.learning.SupervisedLearning
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
resizeImage(BufferedImage, int, int) - Static method in class org.neuroph.contrib.ocr.OcrUtils
  Resize image to specified dimensions
resume() - Method in class org.neuroph.core.learning.IterativeLearning
  Resumes the paused learning
resumeLearning() - Method in class org.neuroph.core.NeuralNetwork
  Resumes paused learning - notifies the learning thread to continue
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.
run() - Method in class org.neuroph.samples.stockmarket.StockSocketReader

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