gplib::IdentityActivationFunction Class Reference
[Neural Network filtering]

This activation function simply outputs its input. More...

#include <IdentityActivationFunction.h>

Inheritance diagram for gplib::IdentityActivationFunction:

[legend]

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.
	IdentityActivationFunction ()
virtual	~IdentityActivationFunction ()

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Detailed Description

This activation function simply outputs its input.

Definition at line 11 of file IdentityActivationFunction.h.

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Constructor & Destructor Documentation

gplib::IdentityActivationFunction::IdentityActivationFunction

(

)

Definition at line 6 of file IdentityActivationFunction.cpp.

gplib::IdentityActivationFunction::~IdentityActivationFunction

(

)

[virtual]

Definition at line 9 of file IdentityActivationFunction.cpp.

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Member Function Documentation

double gplib::IdentityActivationFunction::CalcDeriv

(

const double

input

)

[virtual]

The derivative of the function defined in CalcOutput.

Implements gplib::GeneralActivationFunction.

Definition at line 18 of file IdentityActivationFunction.cpp.

double gplib::IdentityActivationFunction::CalcOutput

(

const double

input

)

[virtual]

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

Implements gplib::GeneralActivationFunction.

Definition at line 13 of file IdentityActivationFunction.cpp.

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

• IdentityActivationFunction.h
• IdentityActivationFunction.cpp