Using the bees algorithm to optimise a support vector machine for wood defect classification
This paper describes a new application of the Bees Algorithm to the optimization of a Support Vector Machine (SVM) for the problem of classifying defects in plywood. The algorithm, which is a swarm-based algorithm inspired by the food foraging behavior of honey bees, was also employed to select th...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2007
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/154/1/using_the_bees_algorithm.pdf |
| _version_ | 1825739636889092096 |
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| author | Pham, D.T Muhammad, Zaidi Mahmuddin, Massudi Ghanbarzadeh, Afshin Koc, Ebubekir Otri, Sameh |
| author_facet | Pham, D.T Muhammad, Zaidi Mahmuddin, Massudi Ghanbarzadeh, Afshin Koc, Ebubekir Otri, Sameh |
| author_sort | Pham, D.T |
| collection | UUM |
| description | This paper describes a new application of the Bees Algorithm to the optimization of a Support Vector Machine
(SVM) for the problem of classifying defects in plywood. The algorithm, which is a swarm-based algorithm inspired
by the food foraging behavior of honey bees, was also employed to select the components making up the feature
vectors to be presented to the SVM. The objective of the work was to find the best combination of SVM parameters
and data features to maximize defect classification accuracy. The paper presents the results obtained to demonstrate the strengths of the Bees Algorithm as an optimization tool. |
| first_indexed | 2024-07-04T05:12:41Z |
| format | Conference or Workshop Item |
| id | uum-154 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:12:41Z |
| publishDate | 2007 |
| record_format | eprints |
| spelling | uum-1542010-07-06T08:01:37Z https://repo.uum.edu.my/id/eprint/154/ Using the bees algorithm to optimise a support vector machine for wood defect classification Pham, D.T Muhammad, Zaidi Mahmuddin, Massudi Ghanbarzadeh, Afshin Koc, Ebubekir Otri, Sameh QA76 Computer software This paper describes a new application of the Bees Algorithm to the optimization of a Support Vector Machine (SVM) for the problem of classifying defects in plywood. The algorithm, which is a swarm-based algorithm inspired by the food foraging behavior of honey bees, was also employed to select the components making up the feature vectors to be presented to the SVM. The objective of the work was to find the best combination of SVM parameters and data features to maximize defect classification accuracy. The paper presents the results obtained to demonstrate the strengths of the Bees Algorithm as an optimization tool. 2007 Conference or Workshop Item NonPeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/154/1/using_the_bees_algorithm.pdf Pham, D.T and Muhammad, Zaidi and Mahmuddin, Massudi and Ghanbarzadeh, Afshin and Koc, Ebubekir and Otri, Sameh (2007) Using the bees algorithm to optimise a support vector machine for wood defect classification. In: Innovative Production Machines and Systems Virtual Conferences (IPROMS 2007), 2007, Cardiff, UK. (Unpublished) http://www.bees-algorithm.com/modules/2/0.php |
| spellingShingle | QA76 Computer software Pham, D.T Muhammad, Zaidi Mahmuddin, Massudi Ghanbarzadeh, Afshin Koc, Ebubekir Otri, Sameh Using the bees algorithm to optimise a support vector machine for wood defect classification |
| title | Using the bees algorithm to optimise a support vector machine for wood defect classification |
| title_full | Using the bees algorithm to optimise a support vector machine for wood defect classification |
| title_fullStr | Using the bees algorithm to optimise a support vector machine for wood defect classification |
| title_full_unstemmed | Using the bees algorithm to optimise a support vector machine for wood defect classification |
| title_short | Using the bees algorithm to optimise a support vector machine for wood defect classification |
| title_sort | using the bees algorithm to optimise a support vector machine for wood defect classification |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/154/1/using_the_bees_algorithm.pdf |
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