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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
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