Radial basis function network based on time variant multi-objective particle swarm optimization for medical diseases diagnosis
This paper proposes an adaptive evolutionary radial basis function (RBF) network algorithm to evolve accuracy and connections (centers and weights) of RBF networks simultaneously. The problem of hybrid learning of RBF network is discussed with the multi-objective optimization methods to improve clas...
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| Format: | Article |
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Elsevier B.V.
2011
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| _version_ | 1796856238164672512 |
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| author | Qasem, Sultan Noman Shamsuddin, Siti Mariyam |
| author_facet | Qasem, Sultan Noman Shamsuddin, Siti Mariyam |
| author_sort | Qasem, Sultan Noman |
| collection | ePrints |
| description | This paper proposes an adaptive evolutionary radial basis function (RBF) network algorithm to evolve accuracy and connections (centers and weights) of RBF networks simultaneously. The problem of hybrid learning of RBF network is discussed with the multi-objective optimization methods to improve classification accuracy for medical disease diagnosis. In this paper, we introduce a time variant multi-objective particle swarm optimization (TVMOPSO) of radial basis function (RBF) network for diagnosing the medical diseases. This study applied RBF network training to determine whether RBF networks can be developed using TVMOPSO, and the performance is validated based on accuracy and complexity. Our approach is tested on three standard data sets from UCI machine learning repository. The results show that our approach is a viable alternative and provides an effective means to solve multi-objective RBF network for medical disease diagnosis. It is better than RBF network based on MOPSO and NSGA-II, and also competitive with other methods in the literature. |
| first_indexed | 2024-03-05T18:40:30Z |
| format | Article |
| id | utm.eprints-26660 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:40:30Z |
| publishDate | 2011 |
| publisher | Elsevier B.V. |
| record_format | dspace |
| spelling | utm.eprints-266602019-05-22T01:17:11Z http://eprints.utm.my/26660/ Radial basis function network based on time variant multi-objective particle swarm optimization for medical diseases diagnosis Qasem, Sultan Noman Shamsuddin, Siti Mariyam QA75 Electronic computers. Computer science This paper proposes an adaptive evolutionary radial basis function (RBF) network algorithm to evolve accuracy and connections (centers and weights) of RBF networks simultaneously. The problem of hybrid learning of RBF network is discussed with the multi-objective optimization methods to improve classification accuracy for medical disease diagnosis. In this paper, we introduce a time variant multi-objective particle swarm optimization (TVMOPSO) of radial basis function (RBF) network for diagnosing the medical diseases. This study applied RBF network training to determine whether RBF networks can be developed using TVMOPSO, and the performance is validated based on accuracy and complexity. Our approach is tested on three standard data sets from UCI machine learning repository. The results show that our approach is a viable alternative and provides an effective means to solve multi-objective RBF network for medical disease diagnosis. It is better than RBF network based on MOPSO and NSGA-II, and also competitive with other methods in the literature. Elsevier B.V. 2011-01 Article PeerReviewed Qasem, Sultan Noman and Shamsuddin, Siti Mariyam (2011) Radial basis function network based on time variant multi-objective particle swarm optimization for medical diseases diagnosis. Applied Soft Computing Journal, 11 (1). pp. 1427-1438. ISSN 1568-4946 http://dx.doi.org/10.1016/j.asoc.2010.04.014 DOI:10.1016/j.asoc.2010.04.014 |
| spellingShingle | QA75 Electronic computers. Computer science Qasem, Sultan Noman Shamsuddin, Siti Mariyam Radial basis function network based on time variant multi-objective particle swarm optimization for medical diseases diagnosis |
| title | Radial basis function network based on time variant multi-objective particle swarm optimization for medical diseases diagnosis |
| title_full | Radial basis function network based on time variant multi-objective particle swarm optimization for medical diseases diagnosis |
| title_fullStr | Radial basis function network based on time variant multi-objective particle swarm optimization for medical diseases diagnosis |
| title_full_unstemmed | Radial basis function network based on time variant multi-objective particle swarm optimization for medical diseases diagnosis |
| title_short | Radial basis function network based on time variant multi-objective particle swarm optimization for medical diseases diagnosis |
| title_sort | radial basis function network based on time variant multi objective particle swarm optimization for medical diseases diagnosis |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT qasemsultannoman radialbasisfunctionnetworkbasedontimevariantmultiobjectiveparticleswarmoptimizationformedicaldiseasesdiagnosis AT shamsuddinsitimariyam radialbasisfunctionnetworkbasedontimevariantmultiobjectiveparticleswarmoptimizationformedicaldiseasesdiagnosis |