Topology Class Reference

Class used as a template to the KohonenNetwork network. More...

#include <Kohonen.h>

Inheritance diagram for Topology:

[legend]List of all members.

Public Member Functions
virtual real	getNeighborWeight (uint srcNeuron, uint destNeuron, real nbSize) const=0
	Not optimized for rectangle neighborhood (which is typical..).
virtual bool	isGridNeighbor (uint srcNeuron, uint destNeuron) const=0
	Function ONLY relevant for visualization - true for the neurons which should be connected by a line calling for srcNeuron == destNeuron will also return true (and is useless :).
uint	getTotalCount () const
	total number of neurons in this topology
real	getMaxDim () const
	maximal dimension of 2 neurons present in this topology this is supposed to be constant for given topology instance
Protected Attributes
uint	totalCount
real	maxDim

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Detailed Description

Class used as a template to the KohonenNetwork network.

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Member Function Documentation

real getMaxDim (   )  const [inline]

maximal dimension of 2 neurons present in this topology this is supposed to be constant for given topology instance

virtual real getNeighborWeight (  uint  srcNeuron, uint  destNeuron, real  nbSize )  const [pure virtual]

Not optimized for rectangle neighborhood (which is typical..). Implemented in EucledianTopology, and EucledianTopology< AXES >.

uint getTotalCount (   )  const [inline]

total number of neurons in this topology

virtual bool isGridNeighbor (  uint  srcNeuron, uint  destNeuron )  const [pure virtual]

Function ONLY relevant for visualization - true for the neurons which should be connected by a line calling for srcNeuron == destNeuron will also return true (and is useless :). Implemented in EucledianTopology, and EucledianTopology< AXES >.

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Member Data Documentation

real maxDim [protected]

uint totalCount [protected]

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

• Kohonen.h

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