Uses of Interface
org.encog.engine.network.activation.ActivationFunction

Packages that use ActivationFunction

org.encog.engine.network.activation	This package contains all of the classes for activation functions.
org.encog.neural.flat	Flat neural networks are Encog's higher performance implementation of multi-layer networks.
org.encog.neural.neat
org.encog.neural.networks	This package contains the neural network machine learning methods.
org.encog.neural.networks.layers
org.encog.neural.pattern	This package contains many helper classes to create neural network types.
org.encog.persist

Uses of ActivationFunction in org.encog.engine.network.activation

Classes in org.encog.engine.network.activation that implement ActivationFunction

class	ActivationBiPolar BiPolar activation function.
class	ActivationCompetitive An activation function that only allows a specified number, usually one, of the out-bound connection to win.
class	ActivationGaussian An activation function based on the gaussian function.
class	ActivationLinear The Linear layer is really not an activation function at all.
class	ActivationLOG An activation function based on the logarithm function.
class	ActivationRamp A ramp activation function.
class	ActivationSigmoid The sigmoid activation function takes on a sigmoidal shape.
class	ActivationSIN An activation function based on the sin function.
class	ActivationSoftMax The softmax activation function.
class	ActivationStep The step activation function is a very simple activation function.
class	ActivationTANH The hyperbolic tangent activation function takes the curved shape of the hyperbolic tangent.

Methods in org.encog.engine.network.activation that return ActivationFunction

ActivationFunction	ActivationLinear.clone()
ActivationFunction	ActivationBiPolar.clone()
ActivationFunction	ActivationTANH.clone()
ActivationFunction	ActivationCompetitive.clone()
ActivationFunction	ActivationSoftMax.clone()
ActivationFunction	ActivationStep.clone()
ActivationFunction	ActivationLOG.clone()
ActivationFunction	ActivationSigmoid.clone()
ActivationFunction	ActivationGaussian.clone()
ActivationFunction	ActivationRamp.clone() Clone the object.
ActivationFunction	ActivationSIN.clone()
ActivationFunction	ActivationFunction.clone()

Uses of ActivationFunction in org.encog.neural.flat

Methods in org.encog.neural.flat that return ActivationFunction

ActivationFunction	FlatLayer.getActivation()
ActivationFunction[]	FlatNetwork.getActivationFunctions()

Methods in org.encog.neural.flat with parameters of type ActivationFunction

void	FlatLayer.setActivation(ActivationFunction activation)
void	FlatNetwork.setActivationFunctions(ActivationFunction[] af) Set the activation functions.

Constructors in org.encog.neural.flat with parameters of type ActivationFunction

FlatLayer(ActivationFunction activation, int count, double biasActivation)
Construct a flat layer.

Uses of ActivationFunction in org.encog.neural.neat

Methods in org.encog.neural.neat that return ActivationFunction

ActivationFunction	NEATNetwork.getActivationFunction()
ActivationFunction	NEATPopulation.getNeatActivationFunction()
ActivationFunction	NEATPopulation.getOutputActivationFunction()
ActivationFunction	NEATNetwork.getOutputActivationFunction()

Methods in org.encog.neural.neat with parameters of type ActivationFunction

void	NEATNetwork.setActivationFunction(ActivationFunction activationFunction) Set the activation function.
void	NEATPopulation.setNeatActivationFunction(ActivationFunction neatActivationFunction)
void	NEATPopulation.setOutputActivationFunction(ActivationFunction outputActivationFunction)
void	NEATNetwork.setOutputActivationFunction(ActivationFunction outputActivationFunction)

Constructors in org.encog.neural.neat with parameters of type ActivationFunction

NEATNetwork(int inputCount, int outputCount, List<NEATNeuron> neurons, ActivationFunction activationFunction, ActivationFunction outputActivationFunction, int networkDepth)
Construct a NEAT synapse.

Uses of ActivationFunction in org.encog.neural.networks

Methods in org.encog.neural.networks that return ActivationFunction

ActivationFunction

BasicNetwork.getActivation(int layer) Get the activation function for the specified layer.

Uses of ActivationFunction in org.encog.neural.networks.layers

Methods in org.encog.neural.networks.layers that return ActivationFunction

ActivationFunction	BasicLayer.getActivationFunction()
ActivationFunction	Layer.getActivationFunction()

Methods in org.encog.neural.networks.layers with parameters of type ActivationFunction

void	Layer.setActivation(ActivationFunction activation) Set the activation function.

Constructors in org.encog.neural.networks.layers with parameters of type ActivationFunction

BasicLayer(ActivationFunction activationFunction, boolean hasBias, int neuronCount)
Construct this layer with a non-default activation function, also determine if a bias is desired or not.

Uses of ActivationFunction in org.encog.neural.pattern

Methods in org.encog.neural.pattern that return ActivationFunction

ActivationFunction

FeedForwardPattern.getActivationOutput()

Methods in org.encog.neural.pattern with parameters of type ActivationFunction

void	HopfieldPattern.setActivationFunction(ActivationFunction activation) Set the activation function to use.
void	SOMPattern.setActivationFunction(ActivationFunction activation) Set the activation function.
void	JordanPattern.setActivationFunction(ActivationFunction activation) Set the activation function to use on each of the layers.
void	BoltzmannPattern.setActivationFunction(ActivationFunction activation) Not used, will throw an exception.
void	FeedForwardPattern.setActivationFunction(ActivationFunction activation) Set the activation function to use on each of the layers.
void	RadialBasisPattern.setActivationFunction(ActivationFunction activation) Set the activation function, this is an error.
void	ART1Pattern.setActivationFunction(ActivationFunction activation) This method will throw an error, you can't set the activation function for an ART1.
void	BAMPattern.setActivationFunction(ActivationFunction activation) Not used, the BAM uses a bipoloar activation function.
void	SVMPattern.setActivationFunction(ActivationFunction activation) Not used, the BAM uses a bipoloar activation function.
void	ElmanPattern.setActivationFunction(ActivationFunction activation) Set the activation function to use on each of the layers.
void	ADALINEPattern.setActivationFunction(ActivationFunction activation) Not used, ADALINE does not use custom activation functions.
void	PNNPattern.setActivationFunction(ActivationFunction activation) Set the activation function.
void	NeuralNetworkPattern.setActivationFunction(ActivationFunction activation) Set the activation function to be used for all created layers that allow an activation function to be specified.
void	CPNPattern.setActivationFunction(ActivationFunction activation) This method will throw an error.
void	FeedForwardPattern.setActivationOutput(ActivationFunction activationOutput)

Uses of ActivationFunction in org.encog.persist

Methods in org.encog.persist that return ActivationFunction

static ActivationFunction

EncogFileSection.parseActivationFunction(Map<String,String> params, String name) Parse an activation function from a string.

Methods in org.encog.persist with parameters of type ActivationFunction

void	EncogWriteHelper.writeProperty(String name, ActivationFunction act) Write a property as an activation function.