RBF< InputDataType, OutputDataType, Activation > Class Template Reference

Implementation of the Radial Basis Function layer. More...

Public Member Functions
	RBF ()
	Create the RBF object. More...
	RBF (const size_t inSize, const size_t outSize, arma::mat &centres, double betas=0)
	Create the Radial Basis Function layer object using the specified parameters. More...
template < typename eT >
void	Backward (const arma::Mat< eT > &, const arma::Mat< eT > &, arma::Mat< eT > &)
	Ordinary feed backward pass of the radial basis function. More...
OutputDataType const &	Delta () const
	Get the detla. More...
OutputDataType &	Delta ()
	Modify the delta. More...
template < typename eT >
void	Forward (const arma::Mat< eT > &input, arma::Mat< eT > &output)
	Ordinary feed forward pass of the radial basis function. More...
InputDataType const &	InputParameter () const
	Get the parameters. More...
InputDataType &	InputParameter ()
	Modify the input parameter. More...
size_t	InputShape () const
	Get the shape of the input. More...
size_t	InputSize () const
	Get the input size. More...
OutputDataType const &	OutputParameter () const
	Get the output parameter. More...
OutputDataType &	OutputParameter ()
	Modify the output parameter. More...
size_t	OutputSize () const
	Get the output size. More...
template < typename Archive >
void	serialize (Archive &ar, const uint32_t)
	Serialize the layer. More...
size_t	WeightSize () const
	Get the size of the weights. More...

Detailed Description

template

<

typename

InputDataType

=

arma::mat

,

typename

OutputDataType

=

arma::mat

,

typename

Activation

=

GaussianFunction

>

class mlpack::ann::RBF< InputDataType, OutputDataType, Activation >

Implementation of the Radial Basis Function layer.

The RBF class when use with a non-linear activation function acts as a Radial Basis Function which can be used with Feed-Forward neural network.

For more information, refer to the following paper,

@article{Volume 51: Artificial Intelligence and Statistics,
  author  = {Qichao Que, Mikhail Belkin},
  title   = {Back to the Future: Radial Basis Function Networks Revisited},
  year    = {2016},
  url     = {http://proceedings.mlr.press/v51/que16.pdf},
}

Template Parameters

InputDataType	Type of the input data (arma::colvec, arma::mat, arma::sp_mat or arma::cube).
OutputDataType	Type of the output data (arma::colvec, arma::mat, arma::sp_mat or arma::cube).
Activation	Type of the activation function (mlpack::ann::Gaussian).

Definition at line 100 of file layer_types.hpp.

Constructor & Destructor Documentation

RBF() [1/2]

RBF

(

)

Create the RBF object.

RBF() [2/2]

RBF	(	const size_t	inSize,
		const size_t	outSize,
		arma::mat &	centres,
		double	betas = 0
	)

Create the Radial Basis Function layer object using the specified parameters.

Parameters

inSize	The number of input units.
outSize	The number of output units.
centres	The centres calculated using k-means of data.
betas	The beta value to be used with centres.

Member Function Documentation

Backward()

void Backward	(	const arma::Mat< eT > &	,
		const arma::Mat< eT > &	,
		arma::Mat< eT > &
	)

Ordinary feed backward pass of the radial basis function.

Delta() [1/2]

OutputDataType const& Delta ( ) const

inline

Get the detla.

Definition at line 109 of file radial_basis_function.hpp.

Delta() [2/2]

OutputDataType& Delta ( )

inline

Modify the delta.

Definition at line 111 of file radial_basis_function.hpp.

Forward()

void Forward	(	const arma::Mat< eT > &	input,
		arma::Mat< eT > &	output
	)

Ordinary feed forward pass of the radial basis function.

Parameters

input	Input data used for evaluating the specified function.
output	Resulting output activation.

InputParameter() [1/2]

InputDataType const& InputParameter ( ) const

inline

Get the parameters.

Get the input parameter.

Definition at line 98 of file radial_basis_function.hpp.

InputParameter() [2/2]

InputDataType& InputParameter ( )

inline

Modify the input parameter.

Definition at line 100 of file radial_basis_function.hpp.

InputShape()

size_t InputShape ( ) const

inline

Get the shape of the input.

Definition at line 120 of file radial_basis_function.hpp.

References RBF< InputDataType, OutputDataType, Activation >::serialize().

InputSize()

size_t InputSize ( ) const

inline

Get the input size.

Definition at line 103 of file radial_basis_function.hpp.

OutputParameter() [1/2]

OutputDataType const& OutputParameter ( ) const

inline

Get the output parameter.

Definition at line 92 of file radial_basis_function.hpp.

OutputParameter() [2/2]

OutputDataType& OutputParameter ( )

inline

Modify the output parameter.

Definition at line 94 of file radial_basis_function.hpp.

OutputSize()

size_t OutputSize ( ) const

inline

Get the output size.

Definition at line 106 of file radial_basis_function.hpp.

serialize()

void serialize	(	Archive &	ar,
		const uint32_t
	)

Serialize the layer.

Referenced by RBF< InputDataType, OutputDataType, Activation >::InputShape().

WeightSize()

size_t WeightSize ( ) const

inline

Get the size of the weights.

Definition at line 114 of file radial_basis_function.hpp.

---

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

• /home/ryan/src/mlpack.org/_src/mlpack-git/src/mlpack/methods/ann/layer/layer_types.hpp
• /home/ryan/src/mlpack.org/_src/mlpack-git/src/mlpack/methods/ann/layer/radial_basis_function.hpp