zeus::TNeuronalNetwork Class Reference

#include <NeuronalNetwork.h>

Inheritance diagram for zeus::TNeuronalNetwork:

List of all members.

Public Member Functions
	TNeuronalNetwork ()
virtual Retval MQUALIFIER	addHiddenLayer (Int iNeuronCount)
virtual Retval MQUALIFIER	createInputLayer (Int iNeuronCount)
virtual Retval MQUALIFIER	createOutputLayer (Int iNeuronCount)
virtual void MQUALIFIER	findFixed (const IList< bool > &rList)
virtual Int MQUALIFIER	getLayerCount () const
virtual void MQUALIFIER	getOutputActivity (IList< bool > &rList) const
virtual void MQUALIFIER	setInputActivity (const IList< bool > &rList)
virtual void MQUALIFIER	loadFromXML (const IString &rFileName)
virtual void MQUALIFIER	saveToXML ()
virtual Retval MQUALIFIER	attach (IObserver &rObserver)
virtual Retval MQUALIFIER	detach (IObserver &rObserver)
virtual Retval MQUALIFIER	askForInterface (const InterfaceID &rInterfaceID, IZUnknown *&rpIface)
virtual void MQUALIFIER	addRef () const
virtual void MQUALIFIER	release () const
Protected Types
typedef TManagedList< TNeuron >	TNeuronList
Protected Member Functions
virtual	~TNeuronalNetwork ()
virtual TNeuron &	createNeuron (Uint uiID, Float fThreshold, Float fPotential)
virtual TNeuron &	createNeuron ()
void	fireLayer (Int iLayerIndex)
void	resetPotentials ()
void	updateLayer (Int iLayerIndex)
void	createLayer (Int iLayerIndex, Int iNeuronCount)
Static Protected Member Functions
static void	connectWithChance (TNeuronList &rSourceList, TNeuronList &rDestList, Int iSrcStart=-1, Int iSrcEnd=-1, Int iDestStart=-1, Int iDestEnd=-1, Float fChance=1.0)
Protected Attributes
TSingleLinkedList< TNeuronList >	m_lstLayers
TManagedList < INeuronalNetworkObserver >	m_lstObserver

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Detailed Description

Neuronal network class. It defines a whole neuronal network and implements methods for training and running state

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Member Typedef Documentation

typedef TManagedList<TNeuron> zeus::TNeuronalNetwork::TNeuronList [protected]

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Constructor & Destructor Documentation

TNeuronalNetwork::TNeuronalNetwork

(

)

Creates a neuronal network

TNeuronalNetwork::~TNeuronalNetwork

(

)

[protected, virtual]

Destroys the neuronal network

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Member Function Documentation

Retval MQUALIFIER TNeuronalNetwork::addHiddenLayer

(

Int

iNeuronCount )

[virtual]

See also:

INeuronalNetwork::findFixed

Implements zeus::INeuronalNetwork.

virtual void MQUALIFIER zeus::TNeuronalNetwork::addRef

(

)

const [virtual]

virtual Retval MQUALIFIER zeus::TNeuronalNetwork::askForInterface	(	const InterfaceID &	rInterfaceID,
		IZUnknown *&	rpIface
	)		[virtual]

Retval MQUALIFIER TNeuronalNetwork::attach

(

IObserver &

rObserver )

[virtual]

See also:

ISubject::attach

void TNeuronalNetwork::connectWithChance	(	TNeuronList &	rSourceList,
		TNeuronList &	rDestList,
		Int	iSrcStart = -1,
		Int	iSrcEnd = -1,
		Int	iDestStart = -1,
		Int	iDestEnd = -1,
		Float	fChance = 1.0
	)		[static, protected]

This static method will be called to connect a range for source neurons with an other range of destination neurons. Using the change parameter we can add some randomized connections.

Parameters:

rSourceList	: Source list (layer) of neurons
rDestList	: Destination list (layer) of neurons
iSrcStart	: start in the source list (-1 = default)
iSrcEnd	: end in the source list (-1 = default)
iDestStart	: start in the destination list (-1 = default)
iDestEnd	: end in the destination list (-1 = default)
fChance	: chance of connection (1.0 = default)

Retval MQUALIFIER TNeuronalNetwork::createInputLayer

(

Int

iNeuronCount )

[virtual]

See also:

INeuronalNetwork::createInputLayer

Implements zeus::INeuronalNetwork.

void TNeuronalNetwork::createLayer	(	Int	iLayerIndex,
		Int	iNeuronCount
	)		[protected]

Creates a new layer. An existing layer might be overwritten

virtual TNeuron& zeus::TNeuronalNetwork::createNeuron

(

)

[inline, protected, virtual]

virtual TNeuron& zeus::TNeuronalNetwork::createNeuron	(	Uint	uiID,
		Float	fThreshold,
		Float	fPotential
	)		[inline, protected, virtual]

Retval MQUALIFIER TNeuronalNetwork::createOutputLayer

(

Int

iNeuronCount )

[virtual]

See also:

INeuronalNetwork::createOutputLayer

Implements zeus::INeuronalNetwork.

Retval MQUALIFIER TNeuronalNetwork::detach

(

IObserver &

rObserver )

[virtual]

See also:

ISubject::detach

void MQUALIFIER TNeuronalNetwork::findFixed

(

const IList< bool > &

rList )

[virtual]

See also:

INeuronalNetwork::findFixed

Implements zeus::INeuronalNetwork.

void TNeuronalNetwork::fireLayer

(

Int

iLayerIndex )

[protected]

fires all neurons of a layer

Int MQUALIFIER zeus::TNeuronalNetwork::getLayerCount

(

)

const [inline, virtual]

returns the number of layers

Implements zeus::INeuronalNetwork.

void MQUALIFIER TNeuronalNetwork::getOutputActivity

(

IList< bool > &

rList )

const [virtual]

See also:

INeuronalNetwork::getOutputActivity

Implements zeus::INeuronalNetwork.

void MQUALIFIER TNeuronalNetwork::loadFromXML

(

const IString &

rFileName )

[virtual]

See also:

INeuronalNetwork::loadFromXML

Implements zeus::INeuronalNetwork.

virtual void MQUALIFIER zeus::TNeuronalNetwork::release

(

)

const [virtual]

void TNeuronalNetwork::resetPotentials

(

)

[protected]

Resets the network potentials

void MQUALIFIER TNeuronalNetwork::saveToXML

(

)

[virtual]

See also:

INeuronalNetwork::saveToXML

Implements zeus::INeuronalNetwork.

void MQUALIFIER TNeuronalNetwork::setInputActivity

(

const IList< bool > &

rList )

[virtual]

See also:

INeuronalNetwork::findFixed

Implements zeus::INeuronalNetwork.

void TNeuronalNetwork::updateLayer

(

Int

iLayerIndex )

[protected]

Updates the neuron activity of a layer

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Member Data Documentation

TSingleLinkedList<TNeuronList> zeus::TNeuronalNetwork::m_lstLayers [protected]

TManagedList<INeuronalNetworkObserver> zeus::TNeuronalNetwork::m_lstObserver [protected]

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

• NeuronalNetwork.h
• NeuronalNetwork.cpp