Watkins, Andrew and Timmis, Jon (2002) Artificial Immune Recognition System (AIRS): Revisions and Refinements. In: Timmis, Jon and Bentley, Peter J., eds. 1st Internatonal Conference on Artificial Immune Systems. Unversity of Kent, Canterbury, Kent, pp. 173-181. ISBN 1-902671-32-5. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13751)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. |
Abstract
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: | Book section |
|---|---|
| Uncontrolled keywords: | artificial immune systems, classification, supervised learning |
| 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 17:59 UTC |
| Last Modified: | 16 Nov 2021 09:51 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/13751 (The current URI for this page, for reference purposes) |
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