RungeKuttaNeuron Class Reference

#include <RungeKuttaNeuron.h>

Inheritance diagram for RungeKuttaNeuron:

List of all members.

Public Member Functions
	RungeKuttaNeuron (int eq, double step=1.0, int type=1, double timestep=1, double T=1, double factor=1)
	RungeKuttaNeuron (const RungeKuttaNeuron &rkn)
virtual	~RungeKuttaNeuron ()
void	setFeaturePlane (FeaturePlaneAbstract *fp)
void	nonlinearity (Matrix *totalActivation, Matrix *workOutput, Matrix *spatialBias, float featureBias)
double	nonlinearityDerivative (double S)
Protected Member Functions
void	rungekuttaAlgorithm (double input, int i, int j, float spatialBias, float featureBias)
void	saveIter (int iter, Matrix *m)
virtual void	derivs (double input, double t, double *r, double *drdt, float spatialBias, float featureBias)=0
	RungeKuttaNeuron ()
virtual void	setInitialValues ()=0
Protected Attributes
int	_equations
int	_type
double	_timestep
double	_TT
double	_factor
double	_step
double **	k
double *	drdt
double *	rw
double *	x
double *	sovertau
MatrixVector	lastTimeStep

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Detailed Description

Runge-Kutta ODE engine. This is an abstract class. The ODEs should be defined as subclasses that implement the derivs() function.

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Constructor & Destructor Documentation

RungeKuttaNeuron::RungeKuttaNeuron	(	int	eq,
		double	step = 1.0,
		int	type = 1,
		double	timestep = 1,
		double	T = 1,
		double	factor = 1
	)

RungeKuttaNeuron::RungeKuttaNeuron

(

const RungeKuttaNeuron &

rkn

)

RungeKuttaNeuron::~RungeKuttaNeuron

(

)

[virtual]

RungeKuttaNeuron::RungeKuttaNeuron

(

)

[protected]

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Member Function Documentation

virtual void RungeKuttaNeuron::derivs	(	double	input,
		double	t,
		double *	r,
		double *	drdt,
		float	spatialBias,
		float	featureBias
	)		[protected, pure virtual]

Implemented in STNeuron.

void RungeKuttaNeuron::nonlinearity	(	Matrix *	totalActivation,
		Matrix *	workOutput,
		Matrix *	spatialBias,
		float	featureBias
	)		[virtual]

Reimplemented from Neuron.

double RungeKuttaNeuron::nonlinearityDerivative

(

double

S

)

[virtual]

Reimplemented from Neuron.

void RungeKuttaNeuron::rungekuttaAlgorithm	(	double	input,
		int	i,
		int	j,
		float	spatialBias,
		float	featureBias
	)		[protected]

Todo:

Albert two types of time: just counted and real time

void RungeKuttaNeuron::saveIter	(	int	iter,
		Matrix *	m
	)		[protected]

void RungeKuttaNeuron::setFeaturePlane

(

FeaturePlaneAbstract *

fp

)

[virtual]

Reimplemented from Neuron.

virtual void RungeKuttaNeuron::setInitialValues

(

)

[protected, pure virtual]

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Member Data Documentation

int RungeKuttaNeuron::_equations [protected]

Todo:

Albert DOCUMENT the data members!!

double RungeKuttaNeuron::_factor [protected]

double RungeKuttaNeuron::_step [protected]

double RungeKuttaNeuron::_timestep [protected]

double RungeKuttaNeuron::_TT [protected]

int RungeKuttaNeuron::_type [protected]

double* RungeKuttaNeuron::drdt [protected]

"right-hand-side" derivatives

double** RungeKuttaNeuron::k [protected]

Runge-Kutta coefficients; k[i][j] = j-th coefficient of the i-th dependent variable

MatrixVector RungeKuttaNeuron::lastTimeStep [protected]

double* RungeKuttaNeuron::rw [protected]

work-space

double* RungeKuttaNeuron::sovertau [protected]

Precalculated S/tau (division is expensive)

double* RungeKuttaNeuron::x [protected]

Results

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

• C:/Users/albertlr/projects/TarzaNN/TarzaNN/RungeKuttaNeuron.h
• C:/Users/albertlr/projects/TarzaNN/TarzaNN/RungeKuttaNeuron.cpp