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Effect of nonlinear resource allocation on AIRS classifier accuracy

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 t...

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Main Authors:	Golzari, Shahram, Doraisamy, Shyamala, Sulaiman, Md Nasir, Udzir, Nur Izura
Format:	Conference or Workshop Item
Language:	English
Published:	2008
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://repo.uum.edu.my/11422/1/596-600-CR162.pdf http://repo.uum.edu.my/11422/ http://www.kmice.cms.net.my/
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id	my.uum.repo.11422
record_format	eprints
spelling	my.uum.repo.114222014-08-20T03:45:33Z http://repo.uum.edu.my/11422/ Effect of nonlinear resource allocation on AIRS classifier accuracy Golzari, Shahram Doraisamy, Shyamala Sulaiman, Md Nasir Udzir, Nur Izura QA75 Electronic computers. Computer science 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. 2008-06-10 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/11422/1/596-600-CR162.pdf 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. http://www.kmice.cms.net.my/
institution	Universiti Utara Malaysia
building	UUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Utara Malaysia
content_source	UUM Institutionali Repository
url_provider	http://repo.uum.edu.my/
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Golzari, Shahram Doraisamy, Shyamala Sulaiman, Md Nasir Udzir, Nur Izura Effect of nonlinear resource allocation on AIRS classifier accuracy
description	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.
format	Conference or Workshop Item
author	Golzari, Shahram Doraisamy, Shyamala Sulaiman, Md Nasir Udzir, Nur Izura
author_facet	Golzari, Shahram Doraisamy, Shyamala Sulaiman, Md Nasir Udzir, Nur Izura
author_sort	Golzari, Shahram
title	Effect of nonlinear resource allocation on AIRS classifier accuracy
title_short	Effect of nonlinear resource allocation on AIRS classifier accuracy
title_full	Effect of nonlinear resource allocation on AIRS classifier accuracy
title_fullStr	Effect of nonlinear resource allocation on AIRS classifier accuracy
title_full_unstemmed	Effect of nonlinear resource allocation on AIRS classifier accuracy
title_sort	effect of nonlinear resource allocation on airs classifier accuracy
publishDate	2008
url	http://repo.uum.edu.my/11422/1/596-600-CR162.pdf http://repo.uum.edu.my/11422/ http://www.kmice.cms.net.my/
_version_	1644280641251966976
score	13.209306

Effect of nonlinear resource allocation on AIRS classifier accuracy

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