Watkins, Andrew and Timmis, Jon and Boggess, Lois C. (2004) Artificial Immune Recognition System (AIRS): AN Immune Inspired Supervised Machine Learning Algorithm. Genetic Programming and Evolvable Machines, 5 (3). pp. 291-317. ISSN 1389-2576 .
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 and are discussed and these results indicate that the revisions to the algorithm do not sacrifice accuracy while increasing the data reduction capabilities of AIRS.
|Uncontrolled keywords:||artificial immune systems, classification, supervised learning|
|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 18:02|
|Last Modified:||09 May 2012 09:09|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/14200 (The current URI for this page, for reference purposes)|
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