Network Class Reference

#include <nn.h>

Collaboration diagram for Network:

List of all members.

Public Member Functions
	Network ()
int	SetData (double learning_rate, int layers[], int tot_layers)
void	SetInputs (vector< double > inputs) const
void	RandomizeWB (void)
double *	GetOutput (void) const
double	getWeight (int i, int j, int k) const
void	setWeight (int i, int j, int k, double w)
double	getBias (int i, int j) const
void	setBias (int i, int j, double b)
void	Update (void)
double	Limiter (double value) const
double	GetRand (void)
double	SigmaWeightDelta (unsigned long layer_no, unsigned long neuron_no)
void	setError (int max_pattern)
void	addError (int max_pattern)
int	Train (vector< double > inputs, vector< double > outputs, int number_pattern, int max_pattern, double momentum)
void	trainingEpoch (unsigned long actual_epoch, double epoch_total, int patterns)
int	trainingMinimumError (int patterns, double min_error)
float	getProgress ()
	~Network ()
Public Attributes
double	net_learning_rate
Layer *	Layers
int	net_tot_layers
double *	net_inputs
double *	net_outputs
int *	net_layers
double *	square_error
double *	mean_square_error
float	progress

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Detailed Description

Definition at line 151 of file nn.h.

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Constructor & Destructor Documentation

Network::Network

(

)

[inline]

Definition at line 168 of file nn.h.

Network::~Network

(

)

[inline]

Definition at line 549 of file nn.h.

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Member Function Documentation

void Network::addError

(

int

max_pattern

)

[inline]

Definition at line 397 of file nn.h.

References mean_square_error, and square_error.

Referenced by Train().

double Network::getBias	(	int	i,
		int	j
	)		const [inline]

Definition at line 293 of file nn.h.

References Layers, Neuron::n_bias, and Layer::Neurons.

Referenced by NNAlgorithm::_getConfiguration().

double* Network::GetOutput

(

void

)

const [inline]

Definition at line 243 of file nn.h.

References Dendrite::d_weight, Neuron::Dendrites, Layers, Limiter(), Neuron::n_bias, Neuron::n_value, net_layers, net_tot_layers, and Layer::Neurons.

Referenced by NNAlgorithm::getValue(), and Update().

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float Network::getProgress

(

)

[inline]

Definition at line 542 of file nn.h.

References progress.

Referenced by NNAlgorithm::iterate().

double Network::GetRand

(

void

)

[inline]

Definition at line 331 of file nn.h.

References RANDOM_CLAMP, and RANDOM_NUM.

Referenced by RandomizeWB().

double Network::getWeight	(	int	i,
		int	j,
		int	k
	)		const [inline]

Definition at line 280 of file nn.h.

References Dendrite::d_weight, Neuron::Dendrites, Layers, and Layer::Neurons.

Referenced by NNAlgorithm::_getConfiguration().

double Network::Limiter

(

double

value

)

const [inline]

Definition at line 324 of file nn.h.

Referenced by GetOutput().

void Network::RandomizeWB

(

void

)

[inline]

Definition at line 213 of file nn.h.

References Dendrite::d_weight, Dendrite::d_weight_actual, Dendrite::d_weight_ancient, Neuron::Dendrites, GetRand(), Layers, Neuron::n_bias, net_layers, net_tot_layers, Layer::Neurons, and Neuron::SetDendrites().

Referenced by NNAlgorithm::_setConfiguration(), and NNAlgorithm::initialize().

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void Network::setBias	(	int	i,
		int	j,
		double	b
	)		[inline]

Definition at line 299 of file nn.h.

References Layers, Neuron::n_bias, and Layer::Neurons.

Referenced by NNAlgorithm::_setConfiguration().

int Network::SetData	(	double	learning_rate,
		int	layers[],
		int	tot_layers
	)		[inline]

Definition at line 173 of file nn.h.

References Layer::Initialize(), Layers, net_inputs, net_layers, net_learning_rate, net_outputs, and net_tot_layers.

Referenced by NNAlgorithm::_setConfiguration(), and NNAlgorithm::initialize().

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void Network::setError

(

int

max_pattern

)

[inline]

Definition at line 383 of file nn.h.

References mean_square_error, and square_error.

Referenced by Train().

void Network::SetInputs

(

vector< double >

inputs

)

const [inline]

Definition at line 204 of file nn.h.

References Layers, Neuron::n_value, net_layers, and Layer::Neurons.

Referenced by NNAlgorithm::getValue(), and Train().

void Network::setWeight	(	int	i,
		int	j,
		int	k,
		double	w
	)		[inline]

Definition at line 286 of file nn.h.

References Dendrite::d_weight, Neuron::Dendrites, Layers, and Layer::Neurons.

Referenced by NNAlgorithm::_setConfiguration().

double Network::SigmaWeightDelta	(	unsigned long	layer_no,
		unsigned long	neuron_no
	)		[inline]

Definition at line 357 of file nn.h.

References Dendrite::d_weight, Neuron::Dendrites, Layers, Neuron::n_delta, net_layers, and Layer::Neurons.

Referenced by Train().

int Network::Train	(	vector< double >	inputs,
		vector< double >	outputs,
		int	number_pattern,
		int	max_pattern,
		double	momentum
	)		[inline]

Definition at line 408 of file nn.h.

References addError(), Dendrite::d_weight, Dendrite::d_weight_actual, Dendrite::d_weight_ancient, Neuron::Dendrites, error, Layers, Neuron::n_bias, Neuron::n_delta, Neuron::n_value, net_layers, net_learning_rate, net_tot_layers, Layer::Neurons, setError(), SetInputs(), SigmaWeightDelta(), square_error, and Update().

Referenced by NNAlgorithm::iterate().

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void Network::trainingEpoch	(	unsigned long	actual_epoch,
		double	epoch_total,
		int	patterns
	)		[inline]

Definition at line 504 of file nn.h.

References mean_square_error, and progress.

Referenced by NNAlgorithm::iterate().

int Network::trainingMinimumError	(	int	patterns,
		double	min_error
	)		[inline]

Definition at line 516 of file nn.h.

References mean_square_error, and progress.

Referenced by NNAlgorithm::iterate().

void Network::Update

(

void

)

[inline]

Definition at line 306 of file nn.h.

References GetOutput().

Referenced by Train().

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Member Data Documentation

Layer* Network::Layers

Definition at line 156 of file nn.h.

Referenced by getBias(), GetOutput(), getWeight(), RandomizeWB(), setBias(), SetData(), SetInputs(), setWeight(), SigmaWeightDelta(), and Train().

double* Network::mean_square_error

Definition at line 164 of file nn.h.

Referenced by addError(), setError(), trainingEpoch(), and trainingMinimumError().

double* Network::net_inputs

Definition at line 158 of file nn.h.

Referenced by SetData().

int* Network::net_layers

Definition at line 160 of file nn.h.

Referenced by GetOutput(), RandomizeWB(), SetData(), SetInputs(), SigmaWeightDelta(), and Train().

double Network::net_learning_rate

Definition at line 155 of file nn.h.

Referenced by SetData(), and Train().

double* Network::net_outputs

Definition at line 159 of file nn.h.

Referenced by SetData().

int Network::net_tot_layers

Definition at line 157 of file nn.h.

Referenced by GetOutput(), RandomizeWB(), SetData(), and Train().

float Network::progress

Definition at line 166 of file nn.h.

Referenced by getProgress(), trainingEpoch(), and trainingMinimumError().

double* Network::square_error

Definition at line 163 of file nn.h.

Referenced by addError(), setError(), and Train().

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

• nn.h