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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: Proceedings of the 2002 Congress on Evolutionary Computation. IEEE, pp. 1546-1551. ISBN 0-7803-7282-4. (doi:10.1109/CEC.2002.1007011) (KAR id:13793)

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http://dx.doi.org/10.1109/CEC.2002.1007011

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: Book section
DOI/Identification number: 10.1109/CEC.2002.1007011
Uncontrolled keywords: pathogens; immune system; genetic mutations; artificial immune systems; clustering algorithms; evolution biology; computer networks; laboratories; collaborative work; books
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:00 UTC
Last Modified: 16 Feb 2021 12:24 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/13793 (The current URI for this page, for reference purposes)
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