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## 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.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.

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