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
Available Online October 2006.
- 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.
- 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 - 2006/10 DA - 2006/10 TI - An SOM-Based Search Algorithm for Dynamic Systems PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2006.291 DO - https://doi.org/10.2991/jcis.2006.291 ID - Chen2006/10 ER -