FeedForwardNN Class Reference

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

#include <feedforwardnn.h>

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
static double	linear (double x)
static double	dlinear (double)
static double	tanh (double x)
static double	dtanh (double x)
static double	sigmoid (double x)
static 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)

static double dlinear

(

double

)

[inline, static]

static double dsigmoid

(

double

x

)

[inline, static]

static double dtanh

(

double

x

)

[inline, static]

static double linear

(

double

x

)

[inline, static]

static double sigmoid

(

double

x

)

[inline, static]

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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