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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.
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