Rainfall runoff modeling using radial basis function neural network for sungai Tinjar catchment, Miri, Sarawak

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
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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: E-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
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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