Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm

This paper presents the inception and subsequent revisions of an immune-inspired supervised learning algorithm, Artificial Immune Recognition System (AIRS). It presents the immunological components that inspired the algorithm and describes the initial algorithm in detail. The discussion then moves t...

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Bibliographic Details
Published in:Genetic programming and evolvable machines 2004-09, Vol.5 (3), p.291-317
Main Authors: Watkins, Andrew, Timmis, Jon, Boggess, Lois
Format: Article
Language:English
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Summary:This paper presents the inception and subsequent revisions of an immune-inspired supervised learning algorithm, Artificial Immune Recognition System (AIRS). It presents the immunological components that inspired the algorithm and describes the initial algorithm in detail. The discussion then moves to revisions of the basic algorithm that remove certain unnecessary complications of the original version. Experimental results for both versions of the algorithm are discussed and these results indicate that the revisions to the algorithm do not sacrifice accuracy while increasing the data reduction capabilities of AIRS.
ISSN:1389-2576
1573-7632
DOI:10.1023/B:GENP.0000030197.83685.94