BipolarActivationFunction Class Reference
[Neural Network filtering]

The biploar activation function is a common function in NN applications. More...

Inheritance diagram for BipolarActivationFunction:

List of all members.

Public Member Functions

virtual double CalcOutput (const double input)

The function that maps between the weighted sum that's the input of the neuron and the output.

virtual double CalcDeriv (const double input)

The derivative of the function defined in CalcOutput.

BipolarActivationFunction ()

virtual ~BipolarActivationFunction ()

Detailed Description

The biploar activation function is a common function in NN applications.

The output is $\tanh (0.5 x)$ and can assume values between $-1 \ldots 1$ .

BipolarActivationFunction::BipolarActivationFunction ( )

BipolarActivationFunction::~BipolarActivationFunction ( ) [virtual]

double BipolarActivationFunction::CalcDeriv ( const double input ) [virtual]

The derivative of the function defined in CalcOutput.

double BipolarActivationFunction::CalcOutput ( const double input ) [virtual]

The function that maps between the weighted sum that's the input of the neuron and the output.

The documentation for this class was generated from the following files:


Public Member Functions
virtual double	CalcOutput (const double input)
	The function that maps between the weighted sum that's the input of the neuron and the output.
virtual double	CalcDeriv (const double input)
	The derivative of the function defined in CalcOutput.
	BipolarActivationFunction ()
virtual	~BipolarActivationFunction ()