Hafiz Fadillah, Alhadi (2004) Neural network for rainfall runoff modelling. [Final Year Project Report] (Unpublished)
![[img]](http://ir.unimas.my/style/images/fileicons/text.png) |
PDF (Please get the password by email to repository@unimas.my , or call ext: 082-583914/3973/3933)
HAFIZ FADILLAH ALHADI.pdf Restricted to Registered users only Download (4MB) |
Abstract
Neural network is a very useful data modelling tool that is able to capture and represent complex input and output relationships. The advantage of neural network lies in its ability to represent both linear and non-linear relationships and also its ability to learn these relationships directly from the data being modelled. So, the purpose of this study is to develop a rainfall runoff model for Sungai Tinjar with outlet at Long Jegan, The network was trained using Back Propagation Algorithm.
| Item Type: | Final Year Project Report |
|---|---|
| Additional Information: | Project report (BSc.) - Universiti Malaysia Sarawak, 2004. |
| Uncontrolled Keywords: | UNIMAS, Universiti Malaysia Sarawak, engineering, research, undergraduate, neural network, Back Propagation Algorithm, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, IPTA, education |
| Subjects: | Q Science > Q Science (General) T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Engineering Faculties, Institutes, Centres > Faculty of Engineering |
| Depositing User: | Karen Kornalius |
| Date Deposited: | 22 May 2014 01:19 |
| Last Modified: | 23 Nov 2023 08:56 |
| URI: | http://ir.unimas.my/id/eprint/2896 |
Actions (For repository members only: login required)
 |
View Item |
