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Artificial immune recognition system with nonlinear resource allocation method and application to traditional Malay music genre classification

Artificial Immune Recognition System (AIRS) has shown an effective performance on several machine learning problems. In this study, the resource allocation method of AIRS was changed with a nonlinear method. This new algorithm, AIRS with nonlinear resource allocation method, was used as a classifier...

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Main Authors: Hormozi, Shahram Golzari, C. Doraisamy, Shyamala, Sulaiman, Md. Nasir, Udzir, Nur Izura, Mohd Norowi, Noris
Format: Conference or Workshop Item
Language:English
Published: Springer 2008
Online Access:http://psasir.upm.edu.my/id/eprint/60429/1/Artificial%20immune%20recognition%20system%20with%20nonlinear%20resource%20allocation%20method%20and%20application%20to%20traditional%20Malay%20music%20genre%20classification.pdf
http://psasir.upm.edu.my/id/eprint/60429/
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spelling my.upm.eprints.604292018-05-21T03:41:44Z http://psasir.upm.edu.my/id/eprint/60429/ Artificial immune recognition system with nonlinear resource allocation method and application to traditional Malay music genre classification Hormozi, Shahram Golzari C. Doraisamy, Shyamala Sulaiman, Md. Nasir Udzir, Nur Izura Mohd Norowi, Noris Artificial Immune Recognition System (AIRS) has shown an effective performance on several machine learning problems. In this study, the resource allocation method of AIRS was changed with a nonlinear method. This new algorithm, AIRS with nonlinear resource allocation method, was used as a classifier in Traditional Malay Music (TMM) genre classification. Music genre classification has a great important role in music information retrieval systems nowadays. The proposed system consists of three stages: feature extraction, feature selection and finally using proposed algorithm as a classifier. Based on results of conducted experiments, the obtained classification accuracy of proposed system is 88.6 % using 10 fold cross validation for TMM genre classification. The results also show that AIRS with nonlinear allocation method obtains maximum classification accuracy for TMM genre classification. Springer 2008 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/60429/1/Artificial%20immune%20recognition%20system%20with%20nonlinear%20resource%20allocation%20method%20and%20application%20to%20traditional%20Malay%20music%20genre%20classification.pdf Hormozi, Shahram Golzari and C. Doraisamy, Shyamala and Sulaiman, Md. Nasir and Udzir, Nur Izura and Mohd Norowi, Noris (2008) Artificial immune recognition system with nonlinear resource allocation method and application to traditional Malay music genre classification. In: 7th International Conference on Artificial Immune Systems (ICARIS 2008), 10-13 Aug. 2008, Phuket, Thailand. (pp. 132-141). 10.1007/978-3-540-85072-4_12
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Artificial Immune Recognition System (AIRS) has shown an effective performance on several machine learning problems. In this study, the resource allocation method of AIRS was changed with a nonlinear method. This new algorithm, AIRS with nonlinear resource allocation method, was used as a classifier in Traditional Malay Music (TMM) genre classification. Music genre classification has a great important role in music information retrieval systems nowadays. The proposed system consists of three stages: feature extraction, feature selection and finally using proposed algorithm as a classifier. Based on results of conducted experiments, the obtained classification accuracy of proposed system is 88.6 % using 10 fold cross validation for TMM genre classification. The results also show that AIRS with nonlinear allocation method obtains maximum classification accuracy for TMM genre classification.
format Conference or Workshop Item
author Hormozi, Shahram Golzari
C. Doraisamy, Shyamala
Sulaiman, Md. Nasir
Udzir, Nur Izura
Mohd Norowi, Noris
spellingShingle Hormozi, Shahram Golzari
C. Doraisamy, Shyamala
Sulaiman, Md. Nasir
Udzir, Nur Izura
Mohd Norowi, Noris
Artificial immune recognition system with nonlinear resource allocation method and application to traditional Malay music genre classification
author_facet Hormozi, Shahram Golzari
C. Doraisamy, Shyamala
Sulaiman, Md. Nasir
Udzir, Nur Izura
Mohd Norowi, Noris
author_sort Hormozi, Shahram Golzari
title Artificial immune recognition system with nonlinear resource allocation method and application to traditional Malay music genre classification
title_short Artificial immune recognition system with nonlinear resource allocation method and application to traditional Malay music genre classification
title_full Artificial immune recognition system with nonlinear resource allocation method and application to traditional Malay music genre classification
title_fullStr Artificial immune recognition system with nonlinear resource allocation method and application to traditional Malay music genre classification
title_full_unstemmed Artificial immune recognition system with nonlinear resource allocation method and application to traditional Malay music genre classification
title_sort artificial immune recognition system with nonlinear resource allocation method and application to traditional malay music genre classification
publisher Springer
publishDate 2008
url http://psasir.upm.edu.my/id/eprint/60429/1/Artificial%20immune%20recognition%20system%20with%20nonlinear%20resource%20allocation%20method%20and%20application%20to%20traditional%20Malay%20music%20genre%20classification.pdf
http://psasir.upm.edu.my/id/eprint/60429/
_version_ 1643837357618626560
score 13.244404

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