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 and Description
static Activation	Activation.LINEAR The identity activation function, g(x) = x.
static Activation	Activation.LOGISTIC The logistic activation function, \(g(x)=\frac{1}{1+e^{-x}} \).
static Activation	Activation.LOGISTIC_TABLE The logistic activation function computed using a table.
static Activation	Activation.SOFTMAX The softmax activation function.
static Activation	Activation.SQUASH The squash activation function, \(g(x) = \frac{x}{1+|x|}\)
static 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 and Description
Activation	Perceptron.getActivation() Returns the activation function.

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

Modifier and Type	Method and 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.