clset_neural.c File Reference

Functions operating on sets of neural classifiers. More...

#include "clset_neural.h"
#include "cl.h"
#include "cond_neural.h"
#include "condition.h"
#include "pred_neural.h"
#include "prediction.h"
#include "utils.h"

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Functions
double	clset_mean_cond_layers (const struct XCSF *xcsf, const struct Set *set)
	Calculates the mean number of condition layers in the set.
double	clset_mean_cond_neurons (const struct XCSF *xcsf, const struct Set *set, const int layer)
	Calculates the mean number of condition neurons for a given layer.
double	clset_mean_cond_connections (const struct XCSF *xcsf, const struct Set *set, const int layer)
	Calculates the mean number of condition connections in the set.
double	clset_mean_pred_neurons (const struct XCSF *xcsf, const struct Set *set, const int layer)
	Calculates the mean number of prediction neurons for a given layer.
double	clset_mean_pred_layers (const struct XCSF *xcsf, const struct Set *set)
	Calculates the mean number of prediction layers in the set.
double	clset_mean_pred_eta (const struct XCSF *xcsf, const struct Set *set, const int layer)
	Calculates the mean prediction layer ETA of classifiers in the set.
double	clset_mean_pred_connections (const struct XCSF *xcsf, const struct Set *set, const int layer)
	Calculates the mean number of prediction connections in the set.

Detailed Description

Functions operating on sets of neural classifiers.

Author

Richard Preen rpree.nosp@m.n@gm.nosp@m.ail.c.nosp@m.om

Copyright

The Authors.

Date

2019–2020.

Definition in file clset_neural.c.

Function Documentation

clset_mean_cond_connections()

double clset_mean_cond_connections	(	const struct XCSF *	xcsf,
		const struct Set *	set,
		const int	layer
	)

Calculates the mean number of condition connections in the set.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	set	The set to calculate the mean.
[in]	layer	The position of layer to calculate.

Returns

The mean number of connections in the layer.

Definition at line 93 of file clset_neural.c.

References Clist::cl, cond_neural_connections(), COND_TYPE_NEURAL, Set::list, Clist::next, and RULE_TYPE_NEURAL.

Referenced by XCS::get_pset_mean_cond_connections().

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clset_mean_cond_layers()

double clset_mean_cond_layers	(	const struct XCSF *	xcsf,
		const struct Set *	set
	)

Calculates the mean number of condition layers in the set.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	set	The set to calculate the mean.

Returns

The mean number of layers.

Definition at line 39 of file clset_neural.c.

References Clist::cl, cond_neural_layers(), COND_TYPE_NEURAL, Set::list, Clist::next, and RULE_TYPE_NEURAL.

Referenced by XCS::get_pset_mean_cond_layers().

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clset_mean_cond_neurons()

double clset_mean_cond_neurons	(	const struct XCSF *	xcsf,
		const struct Set *	set,
		const int	layer
	)

Calculates the mean number of condition neurons for a given layer.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	set	The set to calculate the mean.
[in]	layer	The neural network layer position.

Returns

The mean number of neurons in the layer.

Definition at line 65 of file clset_neural.c.

References Clist::cl, cond_neural_neurons(), COND_TYPE_NEURAL, Set::list, Clist::next, and RULE_TYPE_NEURAL.

Referenced by XCS::get_pset_mean_cond_neurons().

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clset_mean_pred_connections()

double clset_mean_pred_connections	(	const struct XCSF *	xcsf,
		const struct Set *	set,
		const int	layer
	)

Calculates the mean number of prediction connections in the set.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	set	The set to calculate the mean.
[in]	layer	The position of layer to calculate.

Returns

The mean number of connections in the layer.

Definition at line 200 of file clset_neural.c.

References Clist::cl, Set::list, Clist::next, pred_neural_connections(), and PRED_TYPE_NEURAL.

Referenced by XCS::get_pset_mean_pred_connections().

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clset_mean_pred_eta()

double clset_mean_pred_eta	(	const struct XCSF *	xcsf,
		const struct Set *	set,
		const int	layer
	)

Calculates the mean prediction layer ETA of classifiers in the set.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	set	The set to calculate the mean.
[in]	layer	The position of layer to calculate.

Returns

The mean prediction layer ETA of classifiers in the set.

Definition at line 173 of file clset_neural.c.

References Clist::cl, Set::list, Clist::next, pred_neural_eta(), and PRED_TYPE_NEURAL.

Referenced by XCS::get_pset_mean_pred_eta().

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clset_mean_pred_layers()

double clset_mean_pred_layers	(	const struct XCSF *	xcsf,
		const struct Set *	set
	)

Calculates the mean number of prediction layers in the set.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	set	The set to calculate the mean.

Returns

The mean number of layers.

Definition at line 147 of file clset_neural.c.

References Clist::cl, Set::list, Clist::next, pred_neural_layers(), and PRED_TYPE_NEURAL.

Referenced by XCS::get_pset_mean_pred_layers().

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clset_mean_pred_neurons()

double clset_mean_pred_neurons	(	const struct XCSF *	xcsf,
		const struct Set *	set,
		const int	layer
	)

Calculates the mean number of prediction neurons for a given layer.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	set	The set to calculate the mean.
[in]	layer	The neural network layer position.

Returns

The mean number of neurons in the layer.

Definition at line 121 of file clset_neural.c.

References Clist::cl, Set::list, Clist::next, pred_neural_neurons(), and PRED_TYPE_NEURAL.

Referenced by XCS::get_pset_mean_pred_neurons().

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