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...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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Springer
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/60429/ 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 |
| _version_ | 1848854193136205824 |
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| author | Hormozi, Shahram Golzari C. Doraisamy, Shyamala Sulaiman, Md. Nasir Udzir, Nur Izura Mohd Norowi, Noris |
| author_facet | Hormozi, Shahram Golzari C. Doraisamy, Shyamala Sulaiman, Md. Nasir Udzir, Nur Izura Mohd Norowi, Noris |
| author_sort | Hormozi, Shahram Golzari |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T11:05:58Z |
| format | Conference or Workshop Item |
| id | upm-60429 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:05:58Z |
| publishDate | 2008 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| 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 |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/60429/ http://psasir.upm.edu.my/id/eprint/60429/ 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 |