Uses of Class
org.neuroph.core.Neuron

Packages that use Neuron

Package	Description
org.neuroph.core	Provides base classes and basic building components for neural networks.
org.neuroph.core.events	Provides neural network learning events system
org.neuroph.nnet.comp	Provides components for the specific neural network models.
org.neuroph.nnet.comp.layer	Provides various specific layer types
org.neuroph.nnet.comp.neuron	Provides various specific neuron types
org.neuroph.nnet.learning	Provides implementations of specific neural network learning algorithms.
org.neuroph.util	Provides various utility classes for creating neural networks, type codes, parsing vectors, etc.
org.neuroph.util.random	Provides weights randomization techniques

Uses of Neuron in org.neuroph.core

Fields in org.neuroph.core declared as Neuron

Modifier and Type	Field and Description
protected Neuron	Connection.fromNeuron From neuron for this connection (source neuron).
protected Neuron	Connection.toNeuron To neuron for this connection (target, destination neuron) This connection is input connection for to neuron.

Fields in org.neuroph.core with type parameters of type Neuron

Modifier and Type	Field and Description
protected List<Neuron>	Layer.neurons Collection of neurons in this layer

Methods in org.neuroph.core that return Neuron

Modifier and Type	Method and Description
Neuron	Connection.getFromNeuron() Gets from neuron for this connection
Neuron	Layer.getNeuronAt(int index) Returns neuron at specified index position in this layer
Neuron	Connection.getToNeuron() Gets to neuron for this connection

Methods in org.neuroph.core that return types with arguments of type Neuron

Modifier and Type	Method and Description
List<Neuron>	NeuralNetwork.getInputNeurons() Returns input neurons
List<Neuron>	Layer.getNeurons() Returns array neurons in this layer as array
List<Neuron>	NeuralNetwork.getOutputNeurons() Returns output neurons
Iterator<Neuron>	Layer.iterator()

Methods in org.neuroph.core with parameters of type Neuron

Modifier and Type	Method and Description
void	Neuron.addInputConnection(Neuron fromNeuron) Adds input connection from specified neuron.
void	Neuron.addInputConnection(Neuron fromNeuron, double weightVal) Adds input connection with the given weight, from given neuron
void	Layer.addNeuron(int index, Neuron neuron) Adds specified neuron to this layer,at specified index position Throws IllegalArgumentException if neuron is null, or index is illegal value (index<0 or index>neuronsCount)
void	Layer.addNeuron(Neuron neuron) Adds specified neuron to this layer
void	NeuralNetwork.createConnection(Neuron fromNeuron, Neuron toNeuron, double weightVal) Creates connection with specified weight value between specified neurons
Connection	Neuron.getConnectionFrom(Neuron fromNeuron) Gets input connection from the specified neuron * @param fromNeuron neuron connected to this neuron as input
boolean	Neuron.hasInputConnectionFrom(Neuron neuron) Check the connection from neuron
boolean	Neuron.hasOutputConnectionTo(Neuron toNeuron) Check the connection to neuron
int	Layer.indexOf(Neuron neuron) Returns the index position in layer for the specified neuron
void	Neuron.removeInputConnectionFrom(Neuron fromNeuron) Removes input connection which is connected to specified neuron
void	Layer.removeNeuron(Neuron neuron) Removes neuron from layer
void	Neuron.removeOutputConnectionTo(Neuron toNeuron)
void	Layer.setNeuron(int index, Neuron neuron) Sets (replace) the neuron at specified position in layer

Method parameters in org.neuroph.core with type arguments of type Neuron

Modifier and Type	Method and Description
void	NeuralNetwork.setInputNeurons(List<Neuron> inputNeurons) Sets input neurons
void	NeuralNetwork.setOutputNeurons(List<Neuron> outputNeurons) Sets output neurons

Constructors in org.neuroph.core with parameters of type Neuron

Constructor and Description
Connection(Neuron fromNeuron, Neuron toNeuron) Creates a new connection between specified neurons with random weight
Connection(Neuron fromNeuron, Neuron toNeuron, double weightVal) Creates a new connection to specified neuron with specified weight value
Connection(Neuron fromNeuron, Neuron toNeuron, Weight weight) Creates a new connection to specified neuron with specified weight object

Uses of Neuron in org.neuroph.core.events

Constructors in org.neuroph.core.events with parameters of type Neuron

Constructor and Description
NeuralNetworkEvent(Neuron source, NeuralNetworkEvent.Type eventType)

Uses of Neuron in org.neuroph.nnet.comp

Constructors in org.neuroph.nnet.comp with parameters of type Neuron

Constructor and Description
DelayedConnection(Neuron fromNeuron, Neuron toNeuron, double weightVal, int delay) Creates an instance of delayed connection to cpecified neuron and with specified weight

Uses of Neuron in org.neuroph.nnet.comp.layer

Methods in org.neuroph.nnet.comp.layer that return Neuron

Modifier and Type	Method and Description
Neuron	FeatureMapLayer.getNeuronAt(int x, int y) Returns neuron at specified position in this layer
Neuron	FeatureMapsLayer.getNeuronAt(int x, int y, int mapIndex) Returns neuron instance at specified (x, y) position at specified feature map layer

Uses of Neuron in org.neuroph.nnet.comp.neuron

Subclasses of Neuron in org.neuroph.nnet.comp.neuron

Modifier and Type	Class and Description
class	BiasNeuron Neuron with constant high output (1), used as bias
class	CompetitiveNeuron Provides neuron behaviour specific for competitive neurons which are used in competitive layers, and networks with competitive learning.
class	DelayedNeuron Provides behaviour for neurons with delayed output.
class	InputNeuron Provides input neuron behaviour - neuron with input extranaly set, which just transfer that input to output without change.
class	InputOutputNeuron Provides behaviour specific for neurons which act as input and the output neurons within the same layer.
class	ThresholdNeuron Provides behaviour for neurons with threshold.

Methods in org.neuroph.nnet.comp.neuron with parameters of type Neuron

Modifier and Type	Method and Description
void	BiasNeuron.addInputConnection(Neuron fromNeuron)
void	BiasNeuron.addInputConnection(Neuron fromNeuron, double weightVal)

Uses of Neuron in org.neuroph.nnet.learning

Methods in org.neuroph.nnet.learning with parameters of type Neuron

Modifier and Type	Method and Description
protected double	ConvolutionalBackpropagation.calculateHiddenNeuronError(Neuron neuron)
protected double	BackPropagation.calculateHiddenNeuronError(Neuron neuron) Calculates and returns the neuron's error (neuron's delta) for the given neuron param
void	ResilientPropagation.calculateWeightChanges(Neuron neuron) Calculate and sum gradients for each neuron's weight, the actual weight update is done in batch mode.
void	QuickPropagation.calculateWeightChanges(Neuron neuron)
void	PerceptronLearning.calculateWeightChanges(Neuron neuron) This method implements weights update procedure for the single neuron In addition to weights change in LMS it applies change to neuron's threshold
void	MomentumBackpropagation.calculateWeightChanges(Neuron neuron) This method implements weights update procedure for the single neuron for the back propagation with momentum factor
void	ManhattanPropagation.calculateWeightChanges(Neuron neuron)
protected void	LMS.calculateWeightChanges(Neuron neuron) This method calculates weights changes for the single neuron.
protected void	UnsupervisedHebbianLearning.updateNeuronWeights(Neuron neuron) This method implements weights update procedure for the single neuron
protected void	OutstarLearning.updateNeuronWeights(Neuron neuron) This method implements weights update procedure for the single neuron
protected void	OjaLearning.updateNeuronWeights(Neuron neuron) This method implements weights update procedure for the single neuron
protected void	InstarLearning.updateNeuronWeights(Neuron neuron) This method implements weights update procedure for the single neuron
protected void	GeneralizedHebbianLearning.updateNeuronWeights(Neuron neuron) This method implements weights update procedure for the single neuron
protected void	BinaryHebbianLearning.updateNeuronWeights(Neuron neuron) This method implements weights update procedure for the single neuron
protected void	AntiHebbianLearning.updateNeuronWeights(Neuron neuron) This method implements weights update procedure for the single neuron
protected void	SupervisedHebbianLearning.updateNeuronWeights(Neuron neuron, double desiredOutput) This method implements weights update procedure for the single neuron

Uses of Neuron in org.neuroph.util

Methods in org.neuroph.util that return Neuron

Modifier and Type	Method and Description
static Neuron	NeuronFactory.createNeuron(NeuronProperties neuronProperties) Creates and returns neuron instance according to the given specification in neuronProperties.

Methods in org.neuroph.util with parameters of type Neuron

Modifier and Type	Method and Description
static void	ConnectionFactory.createConnection(Neuron fromNeuron, Layer toLayer) Creates connectivity between specified neuron and all neurons in specified layer
static void	ConnectionFactory.createConnection(Neuron fromNeuron, Neuron toNeuron) Creates connection between two specified neurons
static void	ConnectionFactory.createConnection(Neuron fromNeuron, Neuron toNeuron, double weightVal) Creates connection between two specified neurons
static void	ConnectionFactory.createConnection(Neuron fromNeuron, Neuron toNeuron, double weightVal, int delay)
static void	ConnectionFactory.createConnection(Neuron fromNeuron, Neuron toNeuron, Weight weight) Creates connection between two specified neurons

Constructor parameters in org.neuroph.util with type arguments of type Neuron

Constructor and Description
NeuronProperties(Class<? extends Neuron> neuronClass)
NeuronProperties(Class<? extends Neuron> neuronClass, Class<? extends InputFunction> inputFunctionClass, Class<? extends TransferFunction> transferFunctionClass)
NeuronProperties(Class<? extends Neuron> neuronClass, Class<? extends TransferFunction> transferFunctionClass)
NeuronProperties(Class<? extends Neuron> neuronClass, TransferFunctionType transferFunctionType)

Uses of Neuron in org.neuroph.util.random

Methods in org.neuroph.util.random with parameters of type Neuron

Modifier and Type	Method and Description
protected void	WeightsRandomizer.randomize(Neuron neuron) Iterates and randomizes all connection weights in specified neuron
protected void	HeZhangRenSunUniformWeightsRandomizer.randomize(Neuron neuron) "He" uniform distribution [-limit, limit] where limit is 3 * sqrt(2 / fan in)
protected void	DistortRandomizer.randomize(Neuron neuron) Iterate all layers, neurons and connection weight and apply distort randomization