BipolarActivationFunction Class Reference
[Neural Network filtering]
The biploar activation function is a common function in NN applications.
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#include <BipolarActivationFunction.h>
Inheritance diagram for BipolarActivationFunction:
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 
and can assume values between 
.
Definition at line 11 of file BipolarActivationFunction.h.
Constructor & Destructor Documentation
| BipolarActivationFunction::BipolarActivationFunction | ( | ) |
Definition at line 6 of file BipolarActivationFunction.cpp.
| BipolarActivationFunction::~BipolarActivationFunction | ( | ) | [virtual] |
Definition at line 8 of file BipolarActivationFunction.cpp.
Member Function Documentation
| 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.
Implements GeneralActivationFunction.
Definition at line 11 of file BipolarActivationFunction.cpp.
| double BipolarActivationFunction::CalcDeriv | ( | const double | input | ) | [virtual] |
The derivative of the function defined in CalcOutput.
Implements GeneralActivationFunction.
Definition at line 16 of file BipolarActivationFunction.cpp.
The documentation for this class was generated from the following files:
