#include <ml.hpp>

Inheritance diagram for CvANN_MLP:

Public Types
enum	{ IDENTITY = 0, SIGMOID_SYM = 1, GAUSSIAN = 2 }

enum	{ UPDATE_WEIGHTS = 1, NO_INPUT_SCALE = 2, NO_OUTPUT_SCALE = 4 }

Public Member Functions
	CvANN_MLP ()

	CvANN_MLP (const CvMat *layerSizes, int activateFunc=CvANN_MLP::SIGMOID_SYM, double fparam1=0, double fparam2=0)

virtual	~CvANN_MLP ()

virtual void	create (const CvMat *layerSizes, int activateFunc=CvANN_MLP::SIGMOID_SYM, double fparam1=0, double fparam2=0)

virtual int	train (const CvMat inputs, const CvMat outputs, const CvMat sampleWeights, const CvMat sampleIdx=0, CvANN_MLP_TrainParams params=CvANN_MLP_TrainParams(), int flags=0)

virtual float	predict (const CvMat inputs, CV_OUT CvMat outputs) const

	CvANN_MLP (const cv::Mat &layerSizes, int activateFunc=CvANN_MLP::SIGMOID_SYM, double fparam1=0, double fparam2=0)

virtual void	create (const cv::Mat &layerSizes, int activateFunc=CvANN_MLP::SIGMOID_SYM, double fparam1=0, double fparam2=0)

virtual int	train (const cv::Mat &inputs, const cv::Mat &outputs, const cv::Mat &sampleWeights, const cv::Mat &sampleIdx=cv::Mat(), CvANN_MLP_TrainParams params=CvANN_MLP_TrainParams(), int flags=0)

virtual float	predict (const cv::Mat &inputs, CV_OUT cv::Mat &outputs) const

virtual void	clear ()

virtual void	read (CvFileStorage fs, CvFileNode node)

virtual void	write (CvFileStorage storage, const char name) const

int	get_layer_count ()

const CvMat *	get_layer_sizes ()

double *	get_weights (int layer)

virtual void	calc_activ_func_deriv (CvMat xf, CvMat deriv, const double *bias) const

Public Member Functions inherited from CvStatModel
	CvStatModel ()

virtual	~CvStatModel ()

virtual void	save (const char filename, const char name=0) const

virtual void	load (const char filename, const char name=0)

Protected Member Functions
virtual bool	prepare_to_train (const CvMat _inputs, const CvMat _outputs, const CvMat _sample_weights, const CvMat sampleIdx, CvVectors _ivecs, CvVectors _ovecs, double **_sw, int _flags)

virtual int	train_backprop (CvVectors _ivecs, CvVectors _ovecs, const double *_sw)

virtual int	train_rprop (CvVectors _ivecs, CvVectors _ovecs, const double *_sw)

virtual void	calc_activ_func (CvMat xf, const double bias) const

virtual void	set_activ_func (int _activ_func=SIGMOID_SYM, double _f_param1=0, double _f_param2=0)

virtual void	init_weights ()

virtual void	scale_input (const CvMat _src, CvMat _dst) const

virtual void	scale_output (const CvMat _src, CvMat _dst) const

virtual void	calc_input_scale (const CvVectors *vecs, int flags)

virtual void	calc_output_scale (const CvVectors *vecs, int flags)

virtual void	write_params (CvFileStorage *fs) const

virtual void	read_params (CvFileStorage fs, CvFileNode node)

Protected Attributes
CvMat *	layer_sizes

CvMat *	wbuf

CvMat *	sample_weights

double **	weights

double	f_param1

double	f_param2

double	min_val

double	max_val

double	min_val1

double	max_val1

int	activ_func

int	max_count

int	max_buf_sz

CvANN_MLP_TrainParams	params

cv::RNG *	rng

Protected Attributes inherited from CvStatModel
const char *	default_model_name

Member Enumeration Documentation

anonymous enum

Enumerator
IDENTITY
SIGMOID_SYM
GAUSSIAN

anonymous enum

Enumerator
UPDATE_WEIGHTS
NO_INPUT_SCALE
NO_OUTPUT_SCALE

Constructor & Destructor Documentation

CvANN_MLP::CvANN_MLP ( )

CvANN_MLP::CvANN_MLP	(	const CvMat *	layerSizes,
		int	activateFunc = `CvANN_MLP::SIGMOID_SYM`,
		double	fparam1 = `0`,
		double	fparam2 = `0`
	)

virtual CvANN_MLP::~CvANN_MLP ( )

virtual

CvANN_MLP::CvANN_MLP	(	const cv::Mat &	layerSizes,
		int	activateFunc = `CvANN_MLP::SIGMOID_SYM`,
		double	fparam1 = `0`,
		double	fparam2 = `0`
	)

Member Function Documentation

virtual void CvANN_MLP::calc_activ_func	(	CvMat *	xf,
		const double *	bias
	)		const

protectedvirtual

virtual void CvANN_MLP::calc_activ_func_deriv	(	CvMat *	xf,
		CvMat *	deriv,
		const double *	bias
	)		const

virtual

virtual void CvANN_MLP::calc_input_scale	(	const CvVectors *	vecs,
		int	flags
	)

protectedvirtual

virtual void CvANN_MLP::calc_output_scale	(	const CvVectors *	vecs,
		int	flags
	)

protectedvirtual

virtual void CvANN_MLP::clear ( )

virtual

Reimplemented from CvStatModel.

virtual void CvANN_MLP::create	(	const CvMat *	layerSizes,
		int	activateFunc = `CvANN_MLP::SIGMOID_SYM`,
		double	fparam1 = `0`,
		double	fparam2 = `0`
	)

virtual

virtual void CvANN_MLP::create	(	const cv::Mat &	layerSizes,
		int	activateFunc = `CvANN_MLP::SIGMOID_SYM`,
		double	fparam1 = `0`,
		double	fparam2 = `0`
	)

virtual

int CvANN_MLP::get_layer_count ( )

inline

const CvMat* CvANN_MLP::get_layer_sizes ( )

inline

double* CvANN_MLP::get_weights ( int layer )

inline

virtual void CvANN_MLP::init_weights ( )

protectedvirtual

virtual float CvANN_MLP::predict	(	const CvMat *	inputs,
		CV_OUT CvMat *	outputs
	)		const

virtual

virtual float CvANN_MLP::predict	(	const cv::Mat &	inputs,
		CV_OUT cv::Mat &	outputs
	)		const

virtual

virtual bool CvANN_MLP::prepare_to_train	(	const CvMat *	_inputs,
		const CvMat *	_outputs,
		const CvMat *	_sample_weights,
		const CvMat *	sampleIdx,
		CvVectors *	_ivecs,
		CvVectors *	_ovecs,
		double **	_sw,
		int	_flags
	)

protectedvirtual

virtual void CvANN_MLP::read	(	CvFileStorage *	fs,
		CvFileNode *	node
	)

virtual

Reimplemented from CvStatModel.

virtual void CvANN_MLP::read_params	(	CvFileStorage *	fs,
		CvFileNode *	node
	)

protectedvirtual

virtual void CvANN_MLP::scale_input	(	const CvMat *	_src,
		CvMat *	_dst
	)		const

protectedvirtual

virtual void CvANN_MLP::scale_output	(	const CvMat *	_src,
		CvMat *	_dst
	)		const

protectedvirtual

virtual void CvANN_MLP::set_activ_func	(	int	_activ_func = `SIGMOID_SYM`,
		double	_f_param1 = `0`,
		double	_f_param2 = `0`
	)

protectedvirtual

virtual int CvANN_MLP::train	(	const CvMat *	inputs,
		const CvMat *	outputs,
		const CvMat *	sampleWeights,
		const CvMat *	sampleIdx = `0`,
		CvANN_MLP_TrainParams	params = `CvANN_MLP_TrainParams()`,
		int	flags = `0`
	)

virtual

virtual int CvANN_MLP::train	(	const cv::Mat &	inputs,
		const cv::Mat &	outputs,
		const cv::Mat &	sampleWeights,
		const cv::Mat &	sampleIdx = `cv::Mat()`,
		CvANN_MLP_TrainParams	params = `CvANN_MLP_TrainParams()`,
		int	flags = `0`
	)

virtual

virtual int CvANN_MLP::train_backprop	(	CvVectors	_ivecs,
		CvVectors	_ovecs,
		const double *	_sw
	)

protectedvirtual

virtual int CvANN_MLP::train_rprop	(	CvVectors	_ivecs,
		CvVectors	_ovecs,
		const double *	_sw
	)

protectedvirtual

virtual void CvANN_MLP::write	(	CvFileStorage *	storage,
		const char *	name
	)		const

virtual

Reimplemented from CvStatModel.

virtual void CvANN_MLP::write_params ( CvFileStorage * fs ) const

protectedvirtual

Member Data Documentation

int CvANN_MLP::activ_func

protected

double CvANN_MLP::f_param1

protected

double CvANN_MLP::f_param2

protected

CvMat* CvANN_MLP::layer_sizes

protected

int CvANN_MLP::max_buf_sz

protected

int CvANN_MLP::max_count

protected

double CvANN_MLP::max_val

protected

double CvANN_MLP::max_val1

protected

double CvANN_MLP::min_val

protected

double CvANN_MLP::min_val1

protected

CvANN_MLP_TrainParams CvANN_MLP::params

protected

cv::RNG* CvANN_MLP::rng

protected

CvMat* CvANN_MLP::sample_weights

protected

CvMat* CvANN_MLP::wbuf

protected

double** CvANN_MLP::weights

protected

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

ml/ml.hpp

Public Types

Public Member Functions

Protected Member Functions

Protected Attributes

Member Enumeration Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation