Skip to main content

Artificial Immune Recognition System (AIRS): AN Immune Inspired Supervised Machine Learning Algorithm

Watkins, Andrew, Timmis, Jon, 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. (doi:10.1023/B:GENP.0000030197.83685.94) (KAR id:14200)

Language: English
Download (276kB) Preview
[thumbnail of Artificial_Immune_Recognition_System_(AIRS)_An_Immune-.pdf]
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL


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.

Item Type: Article
DOI/Identification number: 10.1023/B:GENP.0000030197.83685.94
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 18:02 UTC
Last Modified: 16 Feb 2021 12:24 UTC
Resource URI: (The current URI for this page, for reference purposes)
  • Depositors only (login required):


Downloads per month over past year