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...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Universiti Utara Malaysia
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/59741/ http://psasir.upm.edu.my/id/eprint/59741/1/596-600-CR162.pdf |
| _version_ | 1848854006016770048 |
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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. |
| first_indexed | 2025-11-15T11:03:00Z |
| format | Conference or Workshop Item |
| id | upm-59741 |
| 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 |