lti::rbf::layer1 Class Reference

layer 1 for rbf networks More...

#include <ltiRbf.h>

Inheritance diagram for lti::rbf::layer1:

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Collaboration diagram for lti::rbf::layer1:

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List of all members.

Public Member Functions
	layer1 (std::string theName)
virtual	~layer1 ()
bool	train (const dvector &input, const int &trainID, trainFunctor &trainFunc)
void	getH (const dmatrix &features, stdLayer::propagationFunctor &prop, dmatrix &H)
void	getHtilde (stdLayer::propagationFunctor &prop, dmatrix &Htilde)
void	findSigmas (const double &sigmaFac, dvector &sigmas)
void	setTrainParams (initFunctor1 &initFunctor, const parameters::eLvqTrainType &theTrainType, const double &theLearnRate, const double &theLrFac=0., const double &theWinSize=0.)

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Detailed Description

layer 1 for rbf networks

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Constructor & Destructor Documentation

lti::rbf::layer1::layer1

(

std::string

theName

)

[inline]

constructor for the first layer

virtual lti::rbf::layer1::~layer1

(

)

[inline, virtual]

destructor

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Member Function Documentation

void lti::rbf::layer1::findSigmas	(	const double &	sigmaFac,
		dvector &	sigmas
	)

calculate sigma-factors

void lti::rbf::layer1::getH	(	const dmatrix &	features,
		stdLayer::propagationFunctor &	prop,
		dmatrix &	H
	)

get matrix H

void lti::rbf::layer1::getHtilde	(	stdLayer::propagationFunctor &	prop,
		dmatrix &	Htilde
	)

get matrix H~

void lti::rbf::layer1::setTrainParams	(	initFunctor1 &	initFunctor,
		const parameters::eLvqTrainType &	theTrainType,
		const double &	theLearnRate,
		const double &	theLrFac = 0.,
		const double &	theWinSize = 0.
	)

set training parameters

bool lti::rbf::layer1::train	(	const dvector &	input,
		const int &	trainID,
		trainFunctor &	trainFunc
	)			[virtual]

train layer 1

Reimplemented from lti::stdLayer.

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

• ltiRbf.h