neural_net::Hexagonal_topology< Index_type > Class Template Reference

Topology for neural network that calculates distance between two neurons. More...

#include <wtm_topology.hpp>

Inheritance diagram for neural_net::Hexagonal_topology< Index_type >:

[legend]Collaboration diagram for neural_net::Hexagonal_topology< Index_type >:

[legend]

Public Member Functions

template<typename Index_type_2> Hexagonal_topology (const Hexagonal_topology< Index_type_2 > &hex_topology) throw ()
Hexagonal_topology (const Index_type &hex_offset_) throw ()
const Index_type operator() (const Index_type &index_1_1, const Index_type &index_1_2, const Index_type &index_2_1, const Index_type &index_2_2) throw ()

Protected Attributes

Index_type hex_offset

Detailed Description

template<typename Index_type>
class neural_net::Hexagonal_topology< Index_type >

Topology for neural network that calculates distance between two neurons.

Parameters:

Index_type

is a type of index.

$\begin{eqnarray*} h_1 (x) & = & \frac{ x_1 + 1 }{2} + x_2\\ h_2 (x) & = & \frac{h_{off}}{2} + x_2 - x_1 / 2;\\ t_1 & = & \max ( h_1 (n), h_1 (m) ) - \min ( h_1 (n), h_1 (m) )\\ t_2 & = & \max ( h_2 (n), h_2 (m) ) - \min ( h_2 (n), h_2 (m) )\\ d (n,m) & = & \left\{ \begin{array}{ll} \max (|t_1|,|t_2|) & if \; sign \; of \; t_1 \; and \; t_2 \; is \; the \; same\\ |t_1|+|t_2| & otherwise \end{array} \right. \end{eqnarray*}$

Constructor & Destructor Documentation

template<typename Index_type>

neural_net::Hexagonal_topology< Index_type >::Hexagonal_topology ( const Index_type & hex_offset_ ) throw () [inline, explicit]

Constructor.
Parameters:

hex_offset_ is an offset of the hexagonal topology. This value have to be not less than number of rows in neuron container counted from 0.

template<typename Index_type>

template<typename Index_type_2>

neural_net::Hexagonal_topology< Index_type >::Hexagonal_topology ( const Hexagonal_topology< Index_type_2 > & hex_topology ) throw () [inline]

Copy constructor.

Member Function Documentation

template<typename Index_type>

const Index_type neural_net::Hexagonal_topology< Index_type >::operator() ( const Index_type & index_1_1,

const Index_type & index_1_2,

const Index_type & index_2_1,

const Index_type & index_2_2

) throw () [inline]

Function calculates distance.
Parameters:

index_1_1 is first index of first neuron.

index_1_2 is second index of first neuron.

index_2_1 is first index of second neuron.

index_2_2 is second index of second neuron.
$\begin{eqnarray*} h_1 (x) & = & \frac{ x_1 + 1 }{2} + x_2\\ h_2 (x) & = & \frac{h_{off}}{2} + x_2 - x_1 / 2;\\ t_1 & = & \max ( h_1 (n), h_1 (m) ) - \min ( h_1 (n), h_1 (m) )\\ t_2 & = & \max ( h_2 (n), h_2 (m) ) - \min ( h_2 (n), h_2 (m) )\\ d (n,m) & = & \left\{ \begin{array}{ll} \max (|t_1|,|t_2|) & if \; sign \; of \; t_1 \; and \; t_2 \; is \; the \; same\\ |t_1|+|t_2| & otherwise \end{array} \right. \end{eqnarray*}$
where: n is firs neuron, m is second.

Field Documentation

template<typename Index_type>

Index_type neural_net::Hexagonal_topology< Index_type >::hex_offset [protected]

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

wtm_topology.hpp

Generated on Wed Jun 28 14:39:54 2006 for Kohonen Neural Network Library Demo by

1.4.6