Functions
FARSA_NNFW_TEMPLATE DoubleVector &	amul (DoubleVector &y, const DoubleVector &x, const DoubleMatrix &m)
	Right Accumulated Multiplication: y += x*m .
FARSA_NNFW_TEMPLATE DoubleVector &	amul (DoubleVector &y, const DoubleMatrix &m, const DoubleVector &x)
	Left Accumulated Multiplication: y += m*x .
FARSA_NNFW_TEMPLATE DoubleVector &	deltarule (DoubleVector &r, double rate, const DoubleVector &x, const DoubleVector &y)
	Delta-Rule: r += rate * x * y .
FARSA_NNFW_TEMPLATE DoubleMatrix &	deltarule (DoubleMatrix &m, double rate, const DoubleVector &x, const DoubleVector &y)
	Delta-Rule: m += rate * x * y .
FARSA_NNFW_TEMPLATE DoubleVector &	exp (DoubleVector &data)
	Calculate the exponential of each element.
FARSA_NNFW_TEMPLATE DoubleVector &	inv (DoubleVector &data)
	Calculate the inverse of each element.
FARSA_NNFW_TEMPLATE unsigned int	maxIndex (const DoubleVector &src)
	Return the index where the first occurrence of the maximum value appear in the vector.
FARSA_NNFW_TEMPLATE double	mean (const DoubleVector &src)
	Return the mean value of the vector's elements.
template<class T >
FARSA_NNFW_TEMPLATE void	memoryCopy (T dest, const T src, unsigned int size)
	template for memory copy of data
FARSA_NNFW_TEMPLATE void	memoryCopy (float dest, const float src, unsigned int size)
	specialization of memoryCopy for float data
FARSA_NNFW_TEMPLATE void	memoryCopy (double dest, const double src, unsigned int size)
	specialization of memoryCopy for double data
FARSA_NNFW_TEMPLATE void	memoryCopy (bool dest, const bool src, unsigned int size)
	specialization of memoryCopy for bool data
template<class T >
FARSA_NNFW_TEMPLATE void	memoryZeroing (T *data, unsigned int size)
	template for memory zeroing of data
FARSA_NNFW_TEMPLATE void	memoryZeroing (bool *data, unsigned int size)
	specialization of memoryZeroing for bool data
FARSA_NNFW_TEMPLATE void	memoryZeroing (double *data, unsigned int size)
	specialization of memoryZeroing for double data
FARSA_NNFW_TEMPLATE void	memoryZeroing (float *data, unsigned int size)
	specialization of memoryZeroing for float data
FARSA_NNFW_TEMPLATE double	mse (const DoubleVector &target, const DoubleVector &actual)
	Return the mean square error of the vector's elements.
FARSA_NNFW_TEMPLATE DoubleVector &	mul (DoubleVector &r, double a, const DoubleVector &x)
	multiplication with alread allocated destination vector: r = a * x
FARSA_NNFW_TEMPLATE DoubleVector &	mul (DoubleVector &y, const DoubleVector &x, const DoubleMatrix &m)
	Right Multiplication: y = x*m .
FARSA_NNFW_TEMPLATE DoubleVector &	mul (DoubleVector &y, const DoubleMatrix &m, const DoubleVector &x)
	Left Multiplication: y = m*x .
FARSA_NNFW_TEMPLATE const DoubleVector	operator* (const double &a, const DoubleVector &x)
	operator* between scalar and DoubleVector
FARSA_NNFW_TEMPLATE const DoubleVector	operator* (const DoubleVector &x, const double &a)
	operator* between DoubleVector and scalar
FARSA_NNFW_TEMPLATE const DoubleVector	operator+ (const double &a, const DoubleVector &x)
	operator+ between scalar and DoubleVector
FARSA_NNFW_TEMPLATE const DoubleVector	operator+ (const DoubleVector &x, const double &a)
	operator+ between DoubleVector and scalar
FARSA_NNFW_TEMPLATE const DoubleVector	operator- (const double &a, const DoubleVector &x)
	operator- between scalar and DoubleVector
FARSA_NNFW_TEMPLATE const DoubleVector	operator- (const DoubleVector &x, const double &a)
	operator- between DoubleVector and scalar
FARSA_NNFW_TEMPLATE const DoubleVector	operator/ (const double &a, const DoubleVector &x)
	operator/ between scalar and DoubleVector
FARSA_NNFW_TEMPLATE const DoubleVector	operator/ (const DoubleVector &x, const double &a)
	operator/ between DoubleVector and scalar
FARSA_NNFW_TEMPLATE DoubleVector &	square (DoubleVector &data)
	Calculate the square of each element.
FARSA_NNFW_TEMPLATE DoubleVector &	subtract (DoubleVector &r, const DoubleVector &x, const DoubleVector &y)
	subtraction with alread allocated destination vector: r = x - y
FARSA_NNFW_TEMPLATE DoubleVector &	subtract (DoubleVector &r, double a, const DoubleVector &x)
	subtraction with alread allocated destination vector: r = a - x
FARSA_NNFW_TEMPLATE double	sum (const DoubleVector &data)
	Return the sum of the vector's elements.

Function Documentation

FARSA_NNFW_TEMPLATE DoubleVector& farsa::amul	(	DoubleVector &	y,
		const DoubleVector &	x,
		const DoubleMatrix &	m
	)		`[inline]`

Right Accumulated Multiplication: y += x*m .

Parameters:

y	the result of multiplication
x	the vector
m	the matrix

Returns:: the vector y

Definition at line 283 of file algebra.h.

References DoubleMatrix::cols(), DoubleMatrix::rows(), and DoubleVector::size().

Referenced by DotLinker::update().

FARSA_NNFW_TEMPLATE DoubleVector& farsa::amul	(	DoubleVector &	y,
		const DoubleMatrix &	m,
		const DoubleVector &	x
	)		`[inline]`

Left Accumulated Multiplication: y += m*x .

Parameters:

y	the result of multiplication
m	the matrix
x	the vector

Returns:: the vector y

Definition at line 324 of file algebra.h.

References DoubleMatrix::cols(), DoubleMatrix::rows(), and DoubleVector::size().

FARSA_NNFW_TEMPLATE DoubleVector& farsa::deltarule	(	DoubleVector &	r,
		double	rate,
		const DoubleVector &	x,
		const DoubleVector &	y
	)		`[inline]`

Delta-Rule: r += rate * x * y .

Add to r the computation of the so-called delta-rule

Parameters:

r	is the vector on which delta-rule results is added
rate	is the scaling factor of multiplication
x	is the first vector
y	is the second vector

Returns:: the vector r

Definition at line 244 of file algebra.h.

References DoubleVector::size().

Referenced by BackPropagationAlgo::learn().

FARSA_NNFW_TEMPLATE DoubleMatrix& farsa::deltarule	(	DoubleMatrix &	m,
		double	rate,
		const DoubleVector &	x,
		const DoubleVector &	y
	)		`[inline]`

Delta-Rule: m += rate * x * y .

Parameters:

m	the matrix on which the result of Delta-rule is added up
rate	is the factor of multiplicaton
x	is the first vector, its dimension must be the same of matrix's rows
y	is the second vector, its dimension must be the same of matrix's columns

Returns:: the matrix m

Definition at line 345 of file algebra.h.

References DoubleMatrix::cols(), DoubleMatrix::rows(), and DoubleVector::size().

FARSA_NNFW_TEMPLATE DoubleVector& farsa::exp ( DoubleVector & data ) [inline]

Calculate the exponential of each element.

Definition at line 44 of file algebra.h.

References DoubleVector::size().

Referenced by GaussFunction::apply(), ScaledSigmoidFunction::apply(), SigmoidFunction::apply(), StepFunction::derivate(), and RampFunction::derivate().

FARSA_NNFW_TEMPLATE DoubleVector& farsa::inv ( DoubleVector & data ) [inline]

Calculate the inverse of each element.

Definition at line 65 of file algebra.h.

References DoubleVector::size().

Referenced by LogLikeFunction::apply(), ScaledSigmoidFunction::apply(), and SigmoidFunction::apply().

FARSA_NNFW_TEMPLATE unsigned int farsa::maxIndex ( const DoubleVector & src ) [inline]

Return the index where the first occurrence of the maximum value appear in the vector.

Definition at line 53 of file algebra.h.

References DoubleVector::size().

Referenced by WinnerTakeAllFunction::apply().

FARSA_NNFW_TEMPLATE double farsa::mean ( const DoubleVector & src ) [inline]

Return the mean value of the vector's elements.

Definition at line 93 of file algebra.h.

References DoubleVector::size(), and farsa::sum().

Referenced by farsa::mse().

FARSA_NNFW_TEMPLATE void farsa::memoryCopy	(	T *	dest,
		const T *	src,
		unsigned int	size
	)		`[inline]`

template for memory copy of data

Definition at line 34 of file memutils.h.

Referenced by DoubleVector::detach(), and DoubleVector::resize().

FARSA_NNFW_TEMPLATE void farsa::memoryCopy	(	float *	dest,
		const float *	src,
		unsigned int	size
	)		`[inline]`

specialization of memoryCopy for float data

Definition at line 53 of file memutils.h.

FARSA_NNFW_TEMPLATE void farsa::memoryCopy	(	double *	dest,
		const double *	src,
		unsigned int	size
	)		`[inline]`

specialization of memoryCopy for double data

Definition at line 67 of file memutils.h.

FARSA_NNFW_TEMPLATE void farsa::memoryCopy	(	bool *	dest,
		const bool *	src,
		unsigned int	size
	)		`[inline]`

specialization of memoryCopy for bool data

Definition at line 81 of file memutils.h.

FARSA_NNFW_TEMPLATE void farsa::memoryZeroing	(	T *	data,
		unsigned int	size
	)		`[inline]`

template for memory zeroing of data

Definition at line 44 of file memutils.h.

Referenced by DoubleVector::DoubleVector().

FARSA_NNFW_TEMPLATE void farsa::memoryZeroing	(	bool *	data,
		unsigned int	size
	)		`[inline]`

specialization of memoryZeroing for bool data

Definition at line 88 of file memutils.h.

FARSA_NNFW_TEMPLATE void farsa::memoryZeroing	(	double *	data,
		unsigned int	size
	)		`[inline]`

specialization of memoryZeroing for double data

Definition at line 74 of file memutils.h.

FARSA_NNFW_TEMPLATE void farsa::memoryZeroing	(	float *	data,
		unsigned int	size
	)		`[inline]`

specialization of memoryZeroing for float data

Definition at line 60 of file memutils.h.

FARSA_NNFW_TEMPLATE double farsa::mse	(	const DoubleVector &	target,
		const DoubleVector &	actual
	)		`[inline]`

Return the mean square error of the vector's elements.

Definition at line 99 of file algebra.h.

References farsa::mean(), and farsa::square().

Referenced by BackPropagationAlgo::calculateMSE().

FARSA_NNFW_TEMPLATE DoubleVector& farsa::mul	(	DoubleVector &	r,
		double	a,
		const DoubleVector &	x
	)		`[inline]`

multiplication with alread allocated destination vector: r = a * x

Definition at line 223 of file algebra.h.

References DoubleVector::size().

Referenced by LogLikeFunction::apply(), LinearFunction::apply(), ScaledSigmoidFunction::apply(), SigmoidFunction::apply(), and ScaleFunction::apply().

FARSA_NNFW_TEMPLATE DoubleVector& farsa::mul	(	DoubleVector &	y,
		const DoubleVector &	x,
		const DoubleMatrix &	m
	)		`[inline]`

Right Multiplication: y = x*m .

Parameters:

y	the result of multiplication
x	the vector
m	the matrix

Returns:: the vector y

Definition at line 263 of file algebra.h.

References DoubleMatrix::cols(), DoubleMatrix::rows(), and DoubleVector::size().

FARSA_NNFW_TEMPLATE DoubleVector& farsa::mul	(	DoubleVector &	y,
		const DoubleMatrix &	m,
		const DoubleVector &	x
	)		`[inline]`

Left Multiplication: y = m*x .

Parameters:

y	the result of multiplication
m	the matrix
x	the vector

Returns:: the vector y

Definition at line 304 of file algebra.h.

References DoubleMatrix::cols(), DoubleMatrix::rows(), and DoubleVector::size().

FARSA_NNFW_TEMPLATE const DoubleVector farsa::operator*	(	const double &	a,
		const DoubleVector &	x
	)		`[inline]`

operator* between scalar and DoubleVector

Definition at line 151 of file algebra.h.

References DoubleVector::size().

FARSA_NNFW_TEMPLATE const DoubleVector farsa::operator*	(	const DoubleVector &	x,
		const double &	a
	)		`[inline]`

operator* between DoubleVector and scalar

Definition at line 162 of file algebra.h.

References DoubleVector::size().

FARSA_NNFW_TEMPLATE const DoubleVector farsa::operator+	(	const double &	a,
		const DoubleVector &	x
	)		`[inline]`

operator+ between scalar and DoubleVector

Definition at line 129 of file algebra.h.

References DoubleVector::size().

FARSA_NNFW_TEMPLATE const DoubleVector farsa::operator+	(	const DoubleVector &	x,
		const double &	a
	)		`[inline]`

operator+ between DoubleVector and scalar

Definition at line 140 of file algebra.h.

References DoubleVector::size().

FARSA_NNFW_TEMPLATE const DoubleVector farsa::operator-	(	const double &	a,
		const DoubleVector &	x
	)		`[inline]`

operator- between scalar and DoubleVector

Definition at line 107 of file algebra.h.

References DoubleVector::size().

FARSA_NNFW_TEMPLATE const DoubleVector farsa::operator-	(	const DoubleVector &	x,
		const double &	a
	)		`[inline]`

operator- between DoubleVector and scalar

Definition at line 118 of file algebra.h.

References DoubleVector::size().

FARSA_NNFW_TEMPLATE const DoubleVector farsa::operator/	(	const double &	a,
		const DoubleVector &	x
	)		`[inline]`

operator/ between scalar and DoubleVector

Definition at line 173 of file algebra.h.

References DoubleVector::size().

FARSA_NNFW_TEMPLATE const DoubleVector farsa::operator/	(	const DoubleVector &	x,
		const double &	a
	)		`[inline]`

operator/ between DoubleVector and scalar

Definition at line 184 of file algebra.h.

References DoubleVector::size().

FARSA_NNFW_TEMPLATE DoubleVector& farsa::square ( DoubleVector & data ) [inline]

Calculate the square of each element.

Definition at line 84 of file algebra.h.

References DoubleVector::size().

Referenced by GaussFunction::apply(), farsa::mse(), and NormLinker::update().

FARSA_NNFW_TEMPLATE DoubleVector& farsa::subtract	(	DoubleVector &	r,
		const DoubleVector &	x,
		const DoubleVector &	y
	)		`[inline]`

subtraction with alread allocated destination vector: r = x - y

Definition at line 195 of file algebra.h.

References DoubleVector::size().

Referenced by GaussFunction::apply(), LeakyIntegratorFunction::apply(), GaussFunction::derivate(), ScaledSigmoidFunction::derivate(), FakeSigmoidFunction::derivate(), SigmoidFunction::derivate(), BackPropagationAlgo::setTeachingInput(), NormLinker::update(), and BiasedCluster::update().

FARSA_NNFW_TEMPLATE DoubleVector& farsa::subtract	(	DoubleVector &	r,
		double	a,
		const DoubleVector &	x
	)		`[inline]`

subtraction with alread allocated destination vector: r = a - x

Definition at line 209 of file algebra.h.

References DoubleVector::size().

FARSA_NNFW_TEMPLATE double farsa::sum ( const DoubleVector & data ) [inline]

Return the sum of the vector's elements.

Definition at line 74 of file algebra.h.

References DoubleVector::size().

Referenced by farsa::mean(), and NormLinker::update().

NNFW - 0.6.0

NNFW Functions

Functions

Function Documentation