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

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.

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Bibliographic Details
Main Authors: Suhaimi, S., Razali, I.
Format: E-Article
Language:English
English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2009
Subjects:
Online Access:http://ir.unimas.my/id/eprint/3115/1/Rainfall%20runoff%20modeling%20using%20radial%20basis%20function%20neural%20network%20for%20sungai%20Tinjar%20catchment%2C%20Miri%2C%20Sarawak.pdf
http://ir.unimas.my/id/eprint/3115/7/RAINFALL%20RUNOFF%20MODELING%20USING%20RADIAL%20BASIS%20FUNCTION%20NEURAL%20NETWORK%20FOR%20SUNGAI%20TINJAR%20CATCHMENT%2C%20MIRI%2C%20SARAWAK%20%28full%20text%29.pdf
http://ir.unimas.my/id/eprint/3115/
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spelling my.unimas.ir.31152015-05-29T08:50:44Z http://ir.unimas.my/id/eprint/3115/ Rainfall runoff modeling using radial basis function neural network for sungai Tinjar catchment, Miri, Sarawak Suhaimi, S. Razali, I. GE Environmental Sciences TD Environmental technology. Sanitary engineering 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. Universiti Malaysia Sarawak, (UNIMAS) 2009 E-Article NonPeerReviewed text en http://ir.unimas.my/id/eprint/3115/1/Rainfall%20runoff%20modeling%20using%20radial%20basis%20function%20neural%20network%20for%20sungai%20Tinjar%20catchment%2C%20Miri%2C%20Sarawak.pdf text en http://ir.unimas.my/id/eprint/3115/7/RAINFALL%20RUNOFF%20MODELING%20USING%20RADIAL%20BASIS%20FUNCTION%20NEURAL%20NETWORK%20FOR%20SUNGAI%20TINJAR%20CATCHMENT%2C%20MIRI%2C%20SARAWAK%20%28full%20text%29.pdf 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).
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
English
topic GE Environmental Sciences
TD Environmental technology. Sanitary engineering
spellingShingle GE Environmental Sciences
TD Environmental technology. Sanitary engineering
Suhaimi, S.
Razali, I.
Rainfall runoff modeling using radial basis function neural network for sungai Tinjar catchment, Miri, Sarawak
description 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.
format E-Article
author Suhaimi, S.
Razali, I.
author_facet Suhaimi, S.
Razali, I.
author_sort Suhaimi, S.
title Rainfall runoff modeling using radial basis function neural network for sungai Tinjar catchment, Miri, Sarawak
title_short Rainfall runoff modeling using radial basis function neural network for sungai Tinjar catchment, Miri, Sarawak
title_full Rainfall runoff modeling using radial basis function neural network for sungai Tinjar catchment, Miri, Sarawak
title_fullStr Rainfall runoff modeling using radial basis function neural network for sungai Tinjar catchment, Miri, Sarawak
title_full_unstemmed Rainfall runoff modeling using radial basis function neural network for sungai Tinjar catchment, Miri, Sarawak
title_sort rainfall runoff modeling using radial basis function neural network for sungai tinjar catchment, miri, sarawak
publisher Universiti Malaysia Sarawak, (UNIMAS)
publishDate 2009
url http://ir.unimas.my/id/eprint/3115/1/Rainfall%20runoff%20modeling%20using%20radial%20basis%20function%20neural%20network%20for%20sungai%20Tinjar%20catchment%2C%20Miri%2C%20Sarawak.pdf
http://ir.unimas.my/id/eprint/3115/7/RAINFALL%20RUNOFF%20MODELING%20USING%20RADIAL%20BASIS%20FUNCTION%20NEURAL%20NETWORK%20FOR%20SUNGAI%20TINJAR%20CATCHMENT%2C%20MIRI%2C%20SARAWAK%20%28full%20text%29.pdf
http://ir.unimas.my/id/eprint/3115/
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score 13.160551