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 te...

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Main Authors: Hormozi, Shahram Golzari, C. Doraisamy, Shyamala, Sulaiman, Md. Nasir, Udzir, Nur Izura
Format: Conference or Workshop Item
Language:English
Published: Universiti Utara Malaysia 2008
Online Access:http://psasir.upm.edu.my/id/eprint/59741/
http://psasir.upm.edu.my/id/eprint/59741/1/596-600-CR162.pdf
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author Hormozi, Shahram Golzari
C. Doraisamy, Shyamala
Sulaiman, Md. Nasir
Udzir, Nur Izura
author_facet Hormozi, Shahram Golzari
C. Doraisamy, Shyamala
Sulaiman, Md. Nasir
Udzir, Nur Izura
author_sort Hormozi, Shahram Golzari
building UPM Institutional Repository
collection Online Access
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.
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format Conference or Workshop Item
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institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T11:03:00Z
publishDate 2008
publisher Universiti Utara Malaysia
recordtype eprints
repository_type Digital Repository
spelling upm-597412018-03-21T07:00:51Z http://psasir.upm.edu.my/id/eprint/59741/ Effect of nonlinear resource allocation on AIRS classifier accuracy Hormozi, Shahram Golzari C. Doraisamy, Shyamala Sulaiman, Md. Nasir Udzir, Nur Izura 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. Universiti Utara Malaysia 2008 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/59741/1/596-600-CR162.pdf Hormozi, Shahram Golzari and C. 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 (KMICe 2008), 10-12 June 2008, Langkawi, Kedah. (pp. 596-600).
spellingShingle Hormozi, Shahram Golzari
C. Doraisamy, Shyamala
Sulaiman, Md. Nasir
Udzir, Nur Izura
Effect of nonlinear resource allocation on AIRS classifier accuracy
title 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_short Effect of nonlinear resource allocation on AIRS classifier accuracy
title_sort effect of nonlinear resource allocation on airs classifier accuracy
url http://psasir.upm.edu.my/id/eprint/59741/
http://psasir.upm.edu.my/id/eprint/59741/1/596-600-CR162.pdf