Suhaimi, S. and Razali, I. (2009) Rainfall runoff modeling using radial basis function neural network for sungai Tinjar catchment, Miri, Sarawak. UNIMAS E-Journal of civil Engineerin, 1 (1).
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RAINFALL RUNOFF MODELING USING RADIAL BASIS FUNCTION NEURAL NETWORK FOR SUNGAI TINJAR CATCHMENT, MIRI, SARAWAK (full text).pdf Restricted to Registered users only Download (1MB) |
Abstract
This study is to purposefully develop a rainfall runoff model for Sg. Tinjar with outlet at Long Jegan using Radial Basis Function (RBF) Neural Network. Training and simulation was done using MatLab 6.5.1 software with varying parameters to obtain the optimum result.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Neural network, Radial Basis Function, Rainfall Runoff Relationship, research, engineering, UNIMAS, Universiti Malaysia Sarawak, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, IPTA, education |
| Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences T Technology > TD Environmental technology. Sanitary engineering |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Engineering Faculties, Institutes, Centres > Faculty of Engineering |
| Depositing User: | Karen Kornalius |
| Date Deposited: | 09 Jun 2014 08:19 |
| Last Modified: | 29 May 2015 08:50 |
| URI: | http://ir.unimas.my/id/eprint/3115 |
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