Rogers, Alan and Keating, John and Shorten, Robert N. (2003) A novel pattern classification scheme using the Baker's map. Neurocomputing, 55. pp. 779-786.

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Abstract

We demonstrate a novel application of nonlinear systems in the design of pattern classi!cation systems. We show that pattern classi!cation systems can be designed based upon training algorithms designed to control the qualitative behaviour of a nonlinear system. Our paradigm is illustrated by means of a simple chaotic system—the Baker’s map. Algorithms for training the system are presented and examples are given to illustrate the operation and learning of the system for pattern classifcation tasks.

Item Type:	Article
Keywords:	Pattern classification; Chaos Baker's map; Lyapunov dimension;
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	214
Depositing User:	Alan Rogers
Date Deposited:	04 Apr 2005
Journal or Publication Title:	Neurocomputing
Publisher:	Elsevier
Refereed:	Yes
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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