ActivationGaussian ClassEncog Machine Learning Framework for .Net
An activation function based on the Gaussian function. The output range is between 0 and 1. This activation function is used mainly for the HyperNeat implementation. A derivative is provided, so this activation function can be used with propagation training. However, its primary intended purpose is for HyperNeat. The derivative was obtained with the R statistical package. If you are looking to implement a RBF-based neural network, see the RBFNetwork class. The idea for this activation function was developed by Ken Stanley, of the University of Texas at Austin. http://www.cs.ucf.edu/~kstanley/
Inheritance Hierarchy

System Object
  Encog.Engine.Network.Activation ActivationGaussian

Namespace: Encog.Engine.Network.Activation
Assembly: encog-core-cs (in encog-core-cs.dll) Version: 3.3.0.0 (3.3.0.0)
Syntax

[SerializableAttribute]
public class ActivationGaussian : IActivationFunction, 
	ICloneable

The ActivationGaussian type exposes the following members.

Constructors

  NameDescription
Public methodActivationGaussian
Construct the activation function.
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Methods

  NameDescription
Public methodActivationFunction
Implements the activation function. The array is modified according to the activation function being used. See the class description for more specific information on this type of activation function.
Public methodClone
Creates a new object that is a copy of the current instance.
Public methodDerivativeFunction
Calculate the derivative. For performance reasons two numbers are provided. First, the value "b" is simply the number that we would like to calculate the derivative of. Second, the value "a", which is the value returned by the activation function, when presented with "b". We use two values because some of the most common activation functions make use of the result of the activation function. It is bad for performance to calculate this value twice. Yet, not all derivatives are calculated this way. By providing both the value before the activation function is applied ("b"), and after the activation function is applied("a"), the class can be constructed to use whichever value will be the most efficient.
Public methodEquals
Determines whether the specified Object is equal to the current Object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetHashCode
Serves as a hash function for a particular type.
(Inherited from Object.)
Public methodGetType
Gets the type of the current instance.
(Inherited from Object.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
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Properties

  NameDescription
Public propertyHasDerivative
Public propertyParamNames
Public propertyParams
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See Also