Watkins, A. and Timmis, J. (2002) Artificial Immune Recognition System (AIRS): Revisions and Refinements. In: 1st International Conference on Artificial Immune Systems, September 2002.
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This paper revisits the Artificial Immmune Recognition System (AIRS) that has been developed as an immune-inspired supervised learning algorithm. Certain unnecessary complications of the original algorithm are discussed and means of overcomming these complexities are proposed. Experimental evidence is presented to support these revisions which do not sacrifice the accuracy of the original algorihtm but, rather, maintain accuracy whilst increasing the simplicity and data reduction capabilities of AIRS.
|Item Type:||Conference or workshop item (Paper)|
|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 17:59|
|Last Modified:||21 Jul 2009 18:45|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/13751 (The current URI for this page, for reference purposes)|
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