Neuroph
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C

calculate() - Method in class org.neuroph.contrib.IACNeuron
Calculates neuron output
calculate() - Method in class org.neuroph.core.Layer
Performs calculaton for all neurons in this layer
calculate() - Method in class org.neuroph.core.NeuralNetwork
Performs calculation on whole network
calculate() - Method in class org.neuroph.core.Neuron
Calculates neuron's output
calculate() - Method in class org.neuroph.nnet.comp.CompetitiveLayer
Performs calculaton for all neurons in this layer
calculate() - Method in class org.neuroph.nnet.comp.CompetitiveNeuron
 
calculate() - Method in class org.neuroph.nnet.comp.DelayedNeuron
 
calculate() - Method in class org.neuroph.nnet.comp.InputOutputNeuron
Calculates neuron output
calculate() - Method in class org.neuroph.nnet.comp.ThresholdNeuron
Calculates neuron's output
clear() - Method in class org.neuroph.core.learning.TrainingSet
Removes all alements from training set
ColorMode - Enum in org.neuroph.contrib.imgrec
Represents the color modes for image recognition.
CompetitiveLayer - Class in org.neuroph.nnet.comp
Represents layer of competitive neurons, and provides methods for competition.
CompetitiveLayer(int, NeuronProperties) - Constructor for class org.neuroph.nnet.comp.CompetitiveLayer
Create an instance of CompetitiveLayer with the specified number of neurons with neuron properties
CompetitiveLearning - Class in org.neuroph.nnet.learning
Competitive learning rule.
CompetitiveLearning() - Constructor for class org.neuroph.nnet.learning.CompetitiveLearning
Creates new instance of CompetitiveLearning
CompetitiveLearning(NeuralNetwork) - Constructor for class org.neuroph.nnet.learning.CompetitiveLearning
Creates new instance of CompetitiveLearning for the specified neural network
CompetitiveNetwork - Class in org.neuroph.nnet
Two layer neural network with competitive learning rule.
CompetitiveNetwork(int, int) - Constructor for class org.neuroph.nnet.CompetitiveNetwork
Creates new competitive network with specified neuron number
CompetitiveNeuron - Class in org.neuroph.nnet.comp
Provides neuron behaviour specific for competitive neurons which are used in competitive layers, and networks with competitive learning.
CompetitiveNeuron(InputFunction, TransferFunction) - Constructor for class org.neuroph.nnet.comp.CompetitiveNeuron
Creates an instance of CompetitiveNeuron with specified input and transfer functions
connectedNeuron - Variable in class org.neuroph.core.Connection
Connected neuron
Connection - Class in org.neuroph.core
Weighted connection to another neuron.
Connection(Neuron) - Constructor for class org.neuroph.core.Connection
Creates a new connection to specified neuron with random weight
Connection(Neuron, Weight) - Constructor for class org.neuroph.core.Connection
Creates a new connection to specified neuron with specified weight object
Connection(Neuron, double) - Constructor for class org.neuroph.core.Connection
Creates a new connection to specified neuron with specified weight value
Connection(Neuron, Neuron) - Constructor for class org.neuroph.core.Connection
Creates a new connection between specified neurons with random weight value
ConnectionFactory - Class in org.neuroph.util
Provides methods to connect neurons by creating Connection objects.
ConnectionFactory() - Constructor for class org.neuroph.util.ConnectionFactory
 
convertRgbInputToBinaryBlackAndWhite(double[]) - Static method in class org.neuroph.contrib.imgrec.FractionRgbData
Converts image rgb data to binary black and white data
convertToArray(Vector<Double>) - Static method in class org.neuroph.util.VectorParser
 
convertToVector(double[]) - Static method in class org.neuroph.util.VectorParser
 
createAdaline(int) - Static method in class org.neuroph.util.NeuralNetworkFactory
Creates and returns a new instance of Adaline network
createBam(int, int) - Static method in class org.neuroph.util.NeuralNetworkFactory
Creates and returns a new instance of BAM network
createBlackAndWhiteTrainingSet(List<String>, Map<String, FractionRgbData>) - Static method in class org.neuroph.contrib.imgrec.ImageRecognitionHelper
Creates binary black and white training set for the specified image labels and rgb data
createCompetitiveNetwork(int, int) - Static method in class org.neuroph.util.NeuralNetworkFactory
Creates and returns a new instance of competitive network
createConnection(Neuron, Neuron, double) - Method in class org.neuroph.core.NeuralNetwork
Creates connection with specified weight value between specified neurons
createConnection(Neuron, Neuron) - Static method in class org.neuroph.util.ConnectionFactory
Creates connection between two specified neurons
createConnection(Neuron, Neuron, Double) - Static method in class org.neuroph.util.ConnectionFactory
Creates connection between two specified neurons
createConnection(Neuron, Neuron, Double, int) - Static method in class org.neuroph.util.ConnectionFactory
 
createConnection(Neuron, Neuron, Weight) - Static method in class org.neuroph.util.ConnectionFactory
Creates connection between two specified neurons
createDemoNetwork() - Method in class org.neuroph.contrib.RecommenderNetwork
 
createHopfield(int) - Static method in class org.neuroph.util.NeuralNetworkFactory
Creates and returns a new instance of Hopfield network
createInstar(int) - Static method in class org.neuroph.util.NeuralNetworkFactory
Creates and returns a new instance of Instar network
createKohonen(int, int) - Static method in class org.neuroph.util.NeuralNetworkFactory
Creates and returns a new instance of Kohonen network
createLayer(int, NeuronProperties) - Static method in class org.neuroph.util.LayerFactory
 
createLayer(int, TransferFunctionType) - Static method in class org.neuroph.util.LayerFactory
 
createLayer(Vector<NeuronProperties>) - Static method in class org.neuroph.util.LayerFactory
 
createMaxNet(int) - Static method in class org.neuroph.util.NeuralNetworkFactory
Creates and returns a new instance of Max Net network
createMLPerceptron(String, TransferFunctionType) - Static method in class org.neuroph.util.NeuralNetworkFactory
Creates and returns a new instance of Multi Layer Perceptron
createNeuron(NeuronProperties) - Static method in class org.neuroph.util.NeuronFactory
Creates and returns neuron according to the given specification.
createNewNeuralNetwork(String, Dimension, ColorMode, List<String>, Vector<Integer>, TransferFunctionType) - Static method in class org.neuroph.contrib.imgrec.ImageRecognitionHelper
Creates and returns new neural network for image recognition.
createOutstar(int) - Static method in class org.neuroph.util.NeuralNetworkFactory
Creates and returns a new instance of Outstar network
createPerceptron(int, int, TransferFunctionType) - Static method in class org.neuroph.util.NeuralNetworkFactory
Creates and returns a new instance of Perceptron network
createRbfNetwork(int, int, int) - Static method in class org.neuroph.util.NeuralNetworkFactory
Creates and returns a new instance of RBF network
createSupervisedHebbian(int, int, TransferFunctionType) - Static method in class org.neuroph.util.NeuralNetworkFactory
Creates and returns a new instance of Hebbian network
createTrainingSet(List<String>, Map<String, FractionRgbData>) - Static method in class org.neuroph.contrib.imgrec.ImageRecognitionHelper
Creates training set for the specified image labels and rgb data
createUnsupervisedHebbian(int, int, TransferFunctionType) - Static method in class org.neuroph.util.NeuralNetworkFactory
Creates and returns a new instance of Unsupervised Hebbian Network
currentIteration - Variable in class org.neuroph.core.learning.IterativeLearning
Current iteration counter

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