Lee, Nung Kion and Wang, Dianhui (2003) Realization of Generalized RBF Network. In: International Conference of IT in Asia (CITA'03), July 2003.
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Abstract
Neural classifiers have been widely used in many application areas. This paper describes generalized neural classifier based on the radial basis function network. The contributions of this work are: i) improvement on the standard radial basis function network architecture, ii) proposed a new cost function for classification, iii) hidden units feature subset selection algorithm, and iv) optimizing the neural classifier using the genetic algorithm with a new cost function. Comparative studies on the proposed neural classifier on protein classification problem are given.
Item Type: | Proceeding (Paper) |
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Uncontrolled Keywords: | Radial basis function, Neural Network, Classification, Proteins Classification, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak |
Subjects: | Q Science > QA Mathematics T Technology > T Technology (General) |
Divisions: | Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development Faculties, Institutes, Centres > Faculty of Cognitive Sciences and Human Development Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development |
Depositing User: | Karen Kornalius |
Date Deposited: | 12 May 2016 04:44 |
Last Modified: | 12 May 2016 04:44 |
URI: | http://ir.unimas.my/id/eprint/11952 |
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