Uses of Interface
com.imsl.datamining.neural.Activation

Packages that use Activation

Package	Description
com.imsl.datamining.neural	Neural networks.

Uses of Activation in com.imsl.datamining.neural

Fields in com.imsl.datamining.neural declared as Activation

Modifier and Type	Field	Description
static final Activation	Activation.LINEAR	The identity activation function, g(x) = x.
static final Activation	Activation.LOGISTIC	The logistic activation function, \(g(x)=\frac{1}{1+e^{-x}} \).
static final Activation	Activation.LOGISTIC_TABLE	The logistic activation function computed using a table.
static final Activation	Activation.SOFTMAX	The softmax activation function.
static final Activation	Activation.SQUASH	The squash activation function, \(g(x) = \frac{x}{1+|x|}\)
static final Activation	Activation.TANH	The hyperbolic tangent activation function, \(g(x)=\tanh{x}= \frac{e^x-e^{-x}}{e^x+e^{-x}}\).

Methods in com.imsl.datamining.neural that return Activation

Modifier and Type	Method	Description
Activation	Perceptron.getActivation()	Returns the activation function.

Methods in com.imsl.datamining.neural with parameters of type Activation

Modifier and Type	Method	Description
Perceptron	HiddenLayer.createPerceptron(Activation activation, double bias)	Creates a Perceptron in this Layer with a specified activation function and bias.
Perceptron	OutputLayer.createPerceptron(Activation activation, double bias)	Creates a Perceptron in this Layer with a specified Activation and bias.
Perceptron[]	HiddenLayer.createPerceptrons(int n, Activation activation, double bias)	Creates a number of Perceptrons in this Layer with the specified bias.
Perceptron[]	OutputLayer.createPerceptrons(int n, Activation activation, double bias)	Creates a number of Perceptrons in this Layer with specified activation and bias.
void	Perceptron.setActivation(Activation activation)	Sets the activation function.