FeedForwardNN Class Reference

abstract class (interface) for feed forward rate based neural networks More...

#include <feedforwardnn.h>

Inherits AbstractModel.

Inherited by MultiLayerFFNN, and OneLayerFFNN.

Inheritance diagram for FeedForwardNN:

[legend]Collaboration diagram for FeedForwardNN:

[legend]List of all members.

Public Member Functions
	FeedForwardNN ()
virtual	~FeedForwardNN ()
virtual void	damp (double damping)=0
	damps the weights and the biases by multiplying (1-damping)
Static Public Member Functions
double	linear (double x)
double	dlinear (double)
double	tanh (double x)
double	dtanh (double x)
double	sigmoid (double x)
double	dsigmoid (double x)

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Detailed Description

abstract class (interface) for feed forward rate based neural networks

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Constructor & Destructor Documentation

FeedForwardNN (   )  [inline]

virtual ~FeedForwardNN (   )  [inline, virtual]

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Member Function Documentation

virtual void damp (  double  damping  )  [pure virtual]

damps the weights and the biases by multiplying (1-damping) Implemented in MultiLayerFFNN, and OneLayerFFNN.

double dlinear (  double   )  [inline, static]

double dsigmoid (  double  x  )  [inline, static]

double dtanh (  double  x  )  [inline, static]

double linear (  double  x  )  [inline, static]

double sigmoid (  double  x  )  [inline, static]

double tanh (  double  x  )  [inline, static]

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

• feedforwardnn.h

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