This class is used to initialize the weight matrix with the oivs method. More...

Public Member Functions
	OivsInitialization (const double epsilon=0.1, const int k=5, const double gamma=0.9)
	Initialize the random initialization rule with the given values. More...

template<typename eT >
void	Initialize (arma::Mat< eT > &W, const size_t rows, const size_t cols)
	Initialize the elements of the specified weight matrix with the oivs method. More...

template<typename eT >
void	Initialize (arma::Cube< eT > &W, const size_t rows, const size_t cols, const size_t slices)
	Initialize the elements of the specified weight 3rd order tensor with the oivs method. More...

Private Attributes
const double	b
	Parameter to control the activation region. More...

const double	gamma
	Parameter to define the uniform random range. More...

const int	k
	Parameter to control the activation region width. More...

Detailed Description

template<class ActivationFunction = LogisticFunction>
class mlpack::ann::OivsInitialization< ActivationFunction >

This class is used to initialize the weight matrix with the oivs method.

The method is based on the equations representing the characteristics of the information transformation mechanism of a node. The method is defined by

$\begin{eqnarray*} b &=& |F^{-1}(1 - \epsilon) - f^{-1}(\epsilon)| \\ \hat{w} &=& \frac{b}{k \cdot n} \\ \gamma &\le& a_i \le \gamma \\ w_i &=& \hat{w} \cdot \sqrt{a_i + 1} \end{eqnarray*}$

Where f is the transfer function epsilon, k custom parameters, n the number of neurons in the outgoing layer and gamma a parameter that defines the random interval.

Template Parameters

ActivationFunction The activation function used for the oivs method.

Definition at line 59 of file oivs_init.hpp.

Constructor & Destructor Documentation

template<class ActivationFunction = LogisticFunction>

mlpack::ann::OivsInitialization< ActivationFunction >::OivsInitialization	(	const double	epsilon = `0.1`,
		const int	k = `5`,
		const double	gamma = `0.9`
	)

inline

Initialize the random initialization rule with the given values.

Parameters

epsilon	Parameter to control the activation region.
k	Parameter to control the activation region width.
gamma	Parameter to define the uniform random range.

Definition at line 69 of file oivs_init.hpp.

Member Function Documentation

template<class ActivationFunction = LogisticFunction>

template<typename eT >

void mlpack::ann::OivsInitialization< ActivationFunction >::Initialize	(	arma::Mat< eT > &	W,
		const size_t	rows,
		const size_t	cols
	)

inline

Initialize the elements of the specified weight matrix with the oivs method.

Parameters

W	Weight matrix to initialize.
rows	Number of rows.
cols	Number of columns.

Definition at line 86 of file oivs_init.hpp.

References mlpack::ann::OivsInitialization< ActivationFunction >::b, mlpack::ann::OivsInitialization< ActivationFunction >::gamma, mlpack::ann::RandomInitialization::Initialize(), and mlpack::ann::OivsInitialization< ActivationFunction >::k.

Referenced by mlpack::ann::OivsInitialization< ActivationFunction >::Initialize().

template<class ActivationFunction = LogisticFunction>

template<typename eT >

void mlpack::ann::OivsInitialization< ActivationFunction >::Initialize	(	arma::Cube< eT > &	W,
		const size_t	rows,
		const size_t	cols,
		const size_t	slices
	)

inline

Initialize the elements of the specified weight 3rd order tensor with the oivs method.

Parameters

W	3rd order tensor to initialize.
rows	Number of rows.
cols	Number of columns.
slices	Number of slices.

Definition at line 104 of file oivs_init.hpp.

References mlpack::ann::OivsInitialization< ActivationFunction >::Initialize().

Member Data Documentation

template<class ActivationFunction = LogisticFunction>

const double mlpack::ann::OivsInitialization< ActivationFunction >::b

private

Parameter to control the activation region.

Definition at line 123 of file oivs_init.hpp.

Referenced by mlpack::ann::OivsInitialization< ActivationFunction >::Initialize().

template<class ActivationFunction = LogisticFunction>

const double mlpack::ann::OivsInitialization< ActivationFunction >::gamma

private

Parameter to define the uniform random range.

Definition at line 120 of file oivs_init.hpp.

Referenced by mlpack::ann::OivsInitialization< ActivationFunction >::Initialize().

template<class ActivationFunction = LogisticFunction>

const int mlpack::ann::OivsInitialization< ActivationFunction >::k

private

Parameter to control the activation region width.

Definition at line 117 of file oivs_init.hpp.

Referenced by mlpack::ann::OivsInitialization< ActivationFunction >::Initialize().

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

src/mlpack/methods/ann/init_rules/oivs_init.hpp

Public Member Functions

Private Attributes

Detailed Description

template<class ActivationFunction = LogisticFunction> class mlpack::ann::OivsInitialization< ActivationFunction >

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

template<class ActivationFunction = LogisticFunction>
class mlpack::ann::OivsInitialization< ActivationFunction >