|
||||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||
| Packages that use ActivationFunction | |
|---|---|
| org.encog.engine.network.activation | This package contains all of the classes for activation functions. |
| org.encog.ml.data.market | |
| org.encog.ml.data.temporal | |
| org.encog.ml.factory | This package contains the Encog Machine Learning Factory. |
| 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 | |
| org.encog.plugin | This package holds classes to implement plugins. |
| org.encog.plugin.system | This package holds the system plugins. |
| 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 |
ActivationSoftMax.clone()
|
ActivationFunction |
ActivationCompetitive.clone()
|
ActivationFunction |
ActivationGaussian.clone()
|
ActivationFunction |
ActivationSigmoid.clone()
|
ActivationFunction |
ActivationSIN.clone()
|
ActivationFunction |
ActivationLinear.clone()
|
ActivationFunction |
ActivationBiPolar.clone()
|
ActivationFunction |
ActivationLOG.clone()
|
ActivationFunction |
ActivationFunction.clone()
|
ActivationFunction |
ActivationRamp.clone()
Clone the object. |
ActivationFunction |
ActivationStep.clone()
|
ActivationFunction |
ActivationTANH.clone()
|
| Uses of ActivationFunction in org.encog.ml.data.market |
|---|
| Constructors in org.encog.ml.data.market with parameters of type ActivationFunction | |
|---|---|
MarketDataDescription(TickerSymbol ticker,
MarketDataType dataType,
TemporalDataDescription.Type type,
ActivationFunction activationFunction,
boolean input,
boolean predict)
Construct a MarketDataDescription item. |
|
| Uses of ActivationFunction in org.encog.ml.data.temporal |
|---|
| Methods in org.encog.ml.data.temporal that return ActivationFunction | |
|---|---|
ActivationFunction |
TemporalDataDescription.getActivationFunction()
|
| Constructors in org.encog.ml.data.temporal with parameters of type ActivationFunction | |
|---|---|
TemporalDataDescription(ActivationFunction activationFunction,
double low,
double high,
TemporalDataDescription.Type type,
boolean input,
boolean predict)
Construct a data description item. |
|
TemporalDataDescription(ActivationFunction activationFunction,
TemporalDataDescription.Type type,
boolean input,
boolean predict)
Construct a data description with an activation function, but no range. |
|
| Uses of ActivationFunction in org.encog.ml.factory |
|---|
| Methods in org.encog.ml.factory that return ActivationFunction | |
|---|---|
ActivationFunction |
MLActivationFactory.create(String fn)
|
| 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 |
NEATNetwork.getOutputActivationFunction()
|
ActivationFunction |
NEATPopulation.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 |
NEATNetwork.setOutputActivationFunction(ActivationFunction outputActivationFunction)
|
void |
NEATPopulation.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 |
ElmanPattern.setActivationFunction(ActivationFunction activation)
Set the activation function to use on each of the layers. |
void |
HopfieldPattern.setActivationFunction(ActivationFunction activation)
Set the activation function to use. |
void |
BoltzmannPattern.setActivationFunction(ActivationFunction activation)
Not used, will throw an exception. |
void |
JordanPattern.setActivationFunction(ActivationFunction activation)
Set the activation function to use on each of the layers. |
void |
PNNPattern.setActivationFunction(ActivationFunction activation)
Set the activation function. |
void |
SOMPattern.setActivationFunction(ActivationFunction activation)
Set the activation function. |
void |
RadialBasisPattern.setActivationFunction(ActivationFunction activation)
Set the activation function, this is an error. |
void |
ADALINEPattern.setActivationFunction(ActivationFunction activation)
Not used, ADALINE does not use custom activation functions. |
void |
SVMPattern.setActivationFunction(ActivationFunction activation)
Not used, the BAM uses a bipoloar 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 |
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 |
CPNPattern.setActivationFunction(ActivationFunction activation)
This method will throw an error. |
void |
FeedForwardPattern.setActivationFunction(ActivationFunction activation)
Set the activation function to use on each of the layers. |
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. |
| Uses of ActivationFunction in org.encog.plugin |
|---|
| Methods in org.encog.plugin that return ActivationFunction | |
|---|---|
ActivationFunction |
EncogPluginService1.createActivationFunction(String name)
Create an activation function. |
| Uses of ActivationFunction in org.encog.plugin.system |
|---|
| Methods in org.encog.plugin.system that return ActivationFunction | |
|---|---|
ActivationFunction |
SystemActivationPlugin.createActivationFunction(String fn)
Create an activation function. |
ActivationFunction |
SystemMethodsPlugin.createActivationFunction(String name)
Create an activation function. |
ActivationFunction |
SystemTrainingPlugin.createActivationFunction(String name)
This plugin does not support activation functions, so it will always return null. |
|
||||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||