Artificial neural network for spam filtering :classification and analysis of spam and non-spam using multi-layer perceptron through back-propagation learning algorithm and radial basis function network

Gan, Swat Ngo (2004) Artificial neural network for spam filtering :classification and analysis of spam and non-spam using multi-layer perceptron through back-propagation learning algorithm and radial basis function network. [Final Year Project Report]

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Item Type: Final Year Project Report
Additional Information: Project Report (BSc.) -- Universiti Malaysia Sarawak, 2004.
Uncontrolled Keywords: spam filtering, Artificial Neural Networks (ANNs), multi-layer perceptron (MLP), Visual Basic languageradial basis function network (RBF).
Subjects: 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: 01 Jul 2014 02:55
Last Modified: 04 Oct 2023 08:45
URI: http://ir.unimas.my/id/eprint/3326

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