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:	https://repo.uum.edu.my/id/eprint/11422

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