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]

PDF (Please get the password by email to repository@unimas.my , or call ext: 082-583914/3973/3933)
Gan Swat Ngo.pdf
Restricted to Registered users only
Download (5MB)

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

Actions (For repository members only: login required)

View Item