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. (Full text available)

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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 > Sciences > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:00 UTC
Last Modified: 28 Jun 2017 18:11 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/13793 (The current URI for this page, for reference purposes)
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