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prapi::neuro::SOMNeighborhood Class Reference
Inheritance diagram for prapi::neuro::SOMNeighborhood:
List of all members.
A base class for different types of neighborhoods.
When updating nodes in the SOM, the amount of vector movement is determined by the weight returned by a SOMNeighborhood instance and the current learning rate (multiplied).
|virtual double ||getWeight (double radius, double distance) const=0|
| ||Get the weight for a node update. |
Member Function Documentation
| virtual double prapi::neuro::SOMNeighborhood::getWeight
Get the weight for a node update.
the current effective update radius |
the distance from the winning node to the one to be updated. |
weight for a vector update, [0,1]. 0 means no change. |
Implemented in prapi::neuro::SOMNeighborhood::Bubble.
The documentation for this class was generated from the following file:
Documentation generated on 11.09.2003 with Doxygen.
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Copyright © Topi Mäenpää 2003. All rights reserved.