A New Classifier Based on Resource Limited Artificial Immune Systems

Watkins, Andrew and Boggess, Lois C. (2002) A New Classifier Based on Resource Limited Artificial Immune Systems. In: The 2002 IEEE World Congress on Computational Intelligence. IEEE, University of Michigan pp. 1546-1551. ISBN 9780780372825.

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Abstract

This paper presents a new tool for supervised learning, modeled on resource limited Artificial Immune Systems. A supervised learning system, it is self-regulatory, efficient, and stable under a wide range of user-set parameters. Its performance is comparable to well-established classifiers on a variety of testbeds, including the iris data, the diabetes classification problem, the ionosphere problem, and the rock/metal classification problem for mine detection.

Item Type:	Conference or workshop item (Paper)
Subjects:	Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions:	Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User:	Mark Wheadon
Date Deposited:	24 Nov 2008 18:00
Last Modified:	06 Sep 2011 01:16
Resource URI:	http://kar.kent.ac.uk/id/eprint/13793 (The current URI for this page, for reference purposes)

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