lti::stdLayer::trainFunctor Class Reference

training functor More...

#include <ltiStdLayer.h>

Inheritance diagram for lti::stdLayer::trainFunctor:

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Collaboration diagram for lti::stdLayer::trainFunctor:

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List of all members.

Public Member Functions
	trainFunctor ()
virtual	~trainFunctor ()
virtual void	setLearnRate (const double &lr)
virtual bool	operator() (const dvector &input, dmatrix &weights, dvector &outLayer, const ivector &outID, const int &trainID, dvector &netError, bool &modified)
virtual bool	operator() (const dvector &input, dmatrix &weights, dvector &outLayer, dvector &netError, bool &modified)
virtual bool	operator() (const dvector &input, dmatrix &weights, dvector &outLayer, const ivector &outID, const int &trainID, bool &modified)
virtual bool	operator() (const dvector &input, dmatrix &weights, dvector &outLayer, bool &modified)

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Detailed Description

training functor

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Constructor & Destructor Documentation

lti::stdLayer::trainFunctor::trainFunctor

(

)

[inline]

default constructor Both neccessary since there are nets which are trained with an overall net error, not a layer error

virtual lti::stdLayer::trainFunctor::~trainFunctor

(

)

[inline, virtual]

destructor

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Member Function Documentation

virtual bool lti::stdLayer::trainFunctor::operator()	(	const dvector &	input,
		dmatrix &	weights,
		dvector &	outLayer,
		bool &	modified
	)			[inline, virtual]

the functor operator for unsupervised training requires following parameters:

Parameters:

	input	the input vector
	weights	the weights matrix to be changed
	outLayer	the output layer vector
	modified	indicates whether the weights were modified

Returns:

true if successful, false otherwise

virtual bool lti::stdLayer::trainFunctor::operator()	(	const dvector &	input,
		dmatrix &	weights,
		dvector &	outLayer,
		const ivector &	outID,
		const int &	trainID,
		bool &	modified
	)			[inline, virtual]

the functor operator for supervised training requires following parameters:

Parameters:

	input	the input vector
	weights	the weights matrix to be changed
	outLayer	the output layer vector
	outID	the class identification for each output neuron
	trainID	the class ID for the presented vector
	modified	indicates whether the weights were modified

Returns:

true if successful, false otherwise

Reimplemented in lti::lvq::lvq1TrainFunctor, lti::lvq::olvq1TrainFunctor, lti::lvq::lvq3TrainFunctor, lti::lvq::olvq3TrainFunctor, and lti::lvq::lvq4TrainFunctor.

virtual bool lti::stdLayer::trainFunctor::operator()	(	const dvector &	input,
		dmatrix &	weights,
		dvector &	outLayer,
		dvector &	netError,
		bool &	modified
	)			[inline, virtual]

the functor operator for unsupervised training requires following parameters:

Parameters:

	input	the input vector
	weights	the weights matrix to be changed
	outLayer	the output layer vector
	netError	the error of the layer
	modified	indicates whether the weights were modified

virtual bool lti::stdLayer::trainFunctor::operator()	(	const dvector &	input,
		dmatrix &	weights,
		dvector &	outLayer,
		const ivector &	outID,
		const int &	trainID,
		dvector &	netError,
		bool &	modified
	)			[inline, virtual]

the functor operator for supervised training requires following parameters:

Parameters:

	input	the input vector
	weights	the weights matrix to be changed
	outLayer	the output layer vector
	outID	the class identification for each output neuron
	trainID	the class ID for the presented vector
	netError	the error of the layer
	modified	indicates whether the weights were modified

virtual void lti::stdLayer::trainFunctor::setLearnRate

(

const double &

lr

)

[virtual]

set the learn rate

Reimplemented in lti::lvq::olvq1TrainFunctor, and lti::lvq::olvq3TrainFunctor.

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

• ltiStdLayer.h