A novel Self-Organizing Map (SOM) learning algorithm with nearest and farthest neurons

A novel Self-Organizing Map (SOM) learning algorithm with nearest and farthest neurons

The Self-Organizing Map (SOM) has applications like dimension reduction, data clustering, image analysis, and many others. In conventional SOM, the weights of the winner and its neighboring neurons are updated regardless of their distance from the input vector. In the proposed SOM, the farthest and...

Full description

Bibliographic Details
Main Authors: Vikas Chaudhary, R.S. Bhatia, Anil K. Ahlawat
Format: Article
Language:English
Published: Elsevier 2014-12-01
Series:Alexandria Engineering Journal
Subjects:
Self-Organizing Map (SOM)
Farthest neuron
Nearest neuron
Winning frequency
Neighborhood neurons
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016814000970

Internet

http://www.sciencedirect.com/science/article/pii/S1110016814000970

Similar Items