TY - GEN
T1 - Rival penalized Self-Organizing Map
AU - Law, Lap Tak
AU - Cheung, Yiu Ming
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2004/2
Y1 - 2004/2
N2 - Kohonen's Self-Organizing Map (SOM) is one of the most commonly used competitive learning algorithms that provide a topological mapping from the input space to the output space. In the conventional SOM, it needs to choose an appropriate learning rate as well as a monotonically decreasing function that lowers the learning rate with time to ensure the convergence of the map. Otherwise, its performance may seriously deteriorate. In this paper, we therefore propose a novel Rival Penalized Self-Organizing Map (RPSOM) learning algorithm, which dynamically penalizes a set of rivals towards driving far away from the input data set during the learning. Compared to the existing methods, this new one need not select the monotonically decreasing function of the learning rate, but still gives a robust result. The experiments have shown its outstanding performance in comparison with the existing algorithms.
AB - Kohonen's Self-Organizing Map (SOM) is one of the most commonly used competitive learning algorithms that provide a topological mapping from the input space to the output space. In the conventional SOM, it needs to choose an appropriate learning rate as well as a monotonically decreasing function that lowers the learning rate with time to ensure the convergence of the map. Otherwise, its performance may seriously deteriorate. In this paper, we therefore propose a novel Rival Penalized Self-Organizing Map (RPSOM) learning algorithm, which dynamically penalizes a set of rivals towards driving far away from the input data set during the learning. Compared to the existing methods, this new one need not select the monotonically decreasing function of the learning rate, but still gives a robust result. The experiments have shown its outstanding performance in comparison with the existing algorithms.
KW - Rival Penalization Controlled Competitive Learning
KW - Rival Penalized Self-Organizing Map
KW - Self-Orgainzing Map
UR - http://www.scopus.com/inward/record.url?scp=11144342160&partnerID=8YFLogxK
M3 - Conference proceeding
AN - SCOPUS:11144342160
T3 - Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence
SP - 142
EP - 145
BT - Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence 2004
PB - International Conference on Neural Networks and Computational Intelligence
T2 - IASTED International Conference on Neural Networks and Computational Intelligence 2004
Y2 - 23 February 2004 through 25 February 2004
ER -