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Effect of nonlinear resource allocation on AIRS classifier accuracy


Golzari, Shahram and Doraisamy, Shyamala and Sulaiman, Md Nasir and Udzir, Nur Izura (2008) Effect of nonlinear resource allocation on AIRS classifier accuracy. In: Knowledge Management International Conference 2008 (KMICe2008), 10-12 June 2008, Langkawi, Malaysia.

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Abstract

Artificial Immune Recognition System (AIRS) is most popular immune inspired classifier.It also has shown itself to be a competitive classifier.AIRS uses linear method to allocate resources.In this paper, two different nonlinear resource allocation methods apply to AIRS. Then new algorithms are tested on 8 benchmark datasets.Based on the results of experiments, one of them increases the accuracy of AIRS in the majority of cases.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN 978-983-3827-73-2 Organized by: College of Arts and Sciences, Universiti Utara Malaysia
Uncontrolled Keywords: Artificial Immune System, AIRS, classification, Nonlinear.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 20 Aug 2014 03:45
Last Modified: 20 Aug 2014 03:45
URI: http://repo.uum.edu.my/id/eprint/11422

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