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annie::CenterNeuron Class Reference

#include <CenterNeuron.h>

Inheritance diagram for annie::CenterNeuron:

List of all members.

Public Methods
	CenterNeuron (int label, int dimension)
	CenterNeuron (int label, VECTOR center)
	CenterNeuron (int label, int dimension, real center[])
virtual	~CenterNeuron ()
VECTOR	getCenter ()
	Returns the center point. More...
virtual void	setCenter (VECTOR center)
	Sets the center point. More...
virtual void	setCenter (real center[])
	Sets the center point. More...
virtual void	connect (Neuron *from)
	Sets the center-neuron to receive as input the output of the given neuron. More...
virtual std::string	toString ()
	See also: Neuron::toString. More...
virtual const char *	getClassName ()
	Returns "CenterNeuron". More...
virtual void	setActivationFunction (ActivationFunction f, ActivationFunction df)
virtual int	getDimension ()
	The dimension of the center. More...
Protected Methods
virtual void	_recacheOutput ()
	See also: Neuron::_recacheOutput. More...
virtual void	_recacheError ()
	See also: Neuron::_recacheError. More...
Protected Attributes
real *	_center
	The center point. More...
int	_dimension
	The dimension of the center point = the size of the input vector. More...
ActivationFunction	_dActivationFunction

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Detailed Description

A center-neuron, the building block of a Radial basis function network. Neurons of this type have a "center" which is a D-dimensional point in space, where D = the number of inputs taken by the neuron. The activation of this neuron is the euclidean distance between the input vector and the center point. The output of this neuron is typically the result of the gaussian distribution function applied to the activation

Todo:

Implement gradient-descent rule based updation of center-point

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Constructor & Destructor Documentation

annie::CenterNeuron::CenterNeuron (  int    label, int    dimension )

Constructs a center with the given label and with the center point a random point in the given dimensional space. Parameters: label  The label to be given to the neuron dimension  The dimension of the center-point = size of input vector

annie::CenterNeuron::CenterNeuron (  int    label, VECTOR    center )

Constructs a center with the given label and given center Parameters: label  The label to be given to the neuron center  The center point

annie::CenterNeuron::CenterNeuron (  int    label, int    dimension, real    center[] )

Constructs a center with the given label and given center Parameters: label  The label to be given to the neuron dimension  The dimension of the center-point = size of input vector center  The center point

virtual annie::CenterNeuron::~CenterNeuron (    )  [virtual]

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Member Function Documentation

virtual void annie::CenterNeuron::_recacheError (    )  [protected, virtual]

See also: Neuron::_recacheError. Implements annie::Neuron.

virtual void annie::CenterNeuron::_recacheOutput (    )  [protected, virtual]

See also: Neuron::_recacheOutput. Implements annie::Neuron.

virtual void annie::CenterNeuron::connect (  Neuron *    from )  [virtual]

Sets the center-neuron to receive as input the output of the given neuron.

VECTOR annie::CenterNeuron::getCenter (    )

Returns the center point.

virtual const char* annie::CenterNeuron::getClassName (    )  [virtual]

Returns "CenterNeuron". Implements annie::Neuron.

virtual int annie::CenterNeuron::getDimension (    )  [virtual]

The dimension of the center.

virtual void annie::CenterNeuron::setActivationFunction (  ActivationFunction    f, ActivationFunction    df )  [virtual]

Sets the activation function of the neuron and its derivative Parameters: f  The activation function to be used (gaussian by default) df  The derivative of the activation function (dgaussian by default). Required for gradient descent training which is NOT YET IMPLEMENTED

virtual void annie::CenterNeuron::setCenter (  real    center[] )  [virtual]

Sets the center point.

virtual void annie::CenterNeuron::setCenter (  VECTOR    center )  [virtual]

Sets the center point.

virtual std::string annie::CenterNeuron::toString (    )  [virtual]

See also: Neuron::toString. Reimplemented from annie::Neuron.

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Member Data Documentation

real* annie::CenterNeuron::_center [protected]

The center point.

ActivationFunction annie::CenterNeuron::_dActivationFunction [protected]

Derivative of the activation function. Used for gradient descent rule based updation of weights and centers. Not yet implemented

int annie::CenterNeuron::_dimension [protected]

The dimension of the center point = the size of the input vector.

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

• CenterNeuron.h

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