9th Joint International Conference on Information Sciences (JCIS-06)

An SOM-Based Search Algorithm for Dynamic Systems

Authors
Yi-Yuan Chen 0, Kuu-Young Young
Corresponding Author
Yi-Yuan Chen
0Dept. Eelectrical and Control Eng., National Chiao-Tung Univ
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DOI
https://doi.org/10.2991/jcis.2006.291How to use a DOI?
Keywords
Self-Organizing Map, Search Algorithm,Dynamic System, Genetic Algorithm.
Abstract
The self-organizing map (SOM), as a kind of unsupervised neural network, has been applied for both static data management and dynamic data analysis. To further exploit its ability in search, in this paper, we propose an SOM-based search algorithm (SOMS) for dynamic systems, in which the SOM is employed as a searching mechanism. And, a new SOM weight updating rule is proposed to enhance the learning efficiency, which may dynamically adjust the neighborhood function for the SOM in learning system parameters. For demonstration, the proposed learning scheme is applied for continuous optimization problem and also dynamic trajectory prediction, and its effectiveness evaluated via the simulations based on using the SOM and GA, due to their resemblance in learning and searching.
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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Publication Date
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ISBN
978-90-78677-01-7
DOI
https://doi.org/10.2991/jcis.2006.291How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yi-Yuan Chen
AU  - Kuu-Young Young
PY  - NaN/NaN
DA  - NaN/NaN
TI  - An SOM-Based Search Algorithm for Dynamic Systems
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis.2006.291
DO  - https://doi.org/10.2991/jcis.2006.291
ID  - ChenNaN/NaN
ER  -