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 from TECHNICAL & DIGITIZATION MANAGEMENT UNIT, ext: 082-583913/ 082-583914)
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 |
Depositing User: | Karen Kornalius |
Date Deposited: | 01 Jul 2014 02:55 |
Last Modified: | 06 Jan 2022 07:51 |
URI: | http://ir.unimas.my/id/eprint/3326 |
Actions (For repository members only: login required)
![]() |
View Item |