A Sequential Algorithm for Training the SOM Prototypes Based on Higher-Order Recursive Equations
Joint Authors
Source
Advances in Artificial Neural Systems
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-01-19
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
A novel training algorithm is proposed for the formation of Self-Organizing Maps (SOM).
In the proposed model, the weights are updated incrementally by using a higher-order difference equation, which implements a low-pass digital filter.
It is possible to improve selected features of the self-organization process with respect to the basic SOM by suitably designing the filter.
Moreover, from this model, new visualization tools can be derived for cluster visualization and for monitoring the quality of the map.
American Psychological Association (APA)
Tucci, Mauro& Raugi, Marco. 2011. A Sequential Algorithm for Training the SOM Prototypes Based on Higher-Order Recursive Equations. Advances in Artificial Neural Systems،Vol. 2010, no. 2010, pp.1-10.
https://search.emarefa.net/detail/BIM-449113
Modern Language Association (MLA)
Tucci, Mauro& Raugi, Marco. A Sequential Algorithm for Training the SOM Prototypes Based on Higher-Order Recursive Equations. Advances in Artificial Neural Systems No. 2010 (2010), pp.1-10.
https://search.emarefa.net/detail/BIM-449113
American Medical Association (AMA)
Tucci, Mauro& Raugi, Marco. A Sequential Algorithm for Training the SOM Prototypes Based on Higher-Order Recursive Equations. Advances in Artificial Neural Systems. 2011. Vol. 2010, no. 2010, pp.1-10.
https://search.emarefa.net/detail/BIM-449113
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-449113
