Bold driver learning algorithm - HTML documentaiton under construction.

Inheritance:

Public Methods

	BoldDriver (double x = DEFAULT_ETA, double incr = DEFAULT_ETA_INCR, double decr = DEFAULT_ETA_DECR)
	~BoldDriver ()
void	Update_param (double err, unsigned iter)
void	Zero_err_prev (void)

Protected Fields

double	eta_incr
double	eta_decr
double	err_prev

Inherited from GradientDescent:

Public Methods

void Update_delta_weights(unsigned n_layers, LayerNetTrain layer[] )

void Update_weigths(unsigned n_layers, LayerNetTrain layer[])

Protected Methods

void Zero_Delta_W(unsigned n_layers, LayerNetTrain layer[])

Inherited from Learning:

Public Methods

void Init_rate(double val=DEFAULT_ETA)

double Read_rate(void)

Protected Fields

static const double DEFAULT_ETA

static const double DEFAULT_DECR_FACTOR

static const double MIN_ETA

static const double DEFAULT_DECR_LIN_FACTOR

static const double DEFAULT_ALPHA

static const double DEFAULT_ETA_INCR

static const double DEFAULT_ETA_DECR

double eta

Documentation

Bold driver learning class.
It updates weights through gradient descent with adaptive learning rate.

double eta_incr

double eta_decr

double err_prev

BoldDriver(double x = DEFAULT_ETA, double incr = DEFAULT_ETA_INCR, double decr = DEFAULT_ETA_DECR)

~BoldDriver()

void Update_param(double err, unsigned iter)

void Zero_err_prev(void)

This class has no child classes.

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