River Bedup catchment water level prediction using pre-developed ANN Model of Siniawan catchment

Bustami, R. (2011) River Bedup catchment water level prediction using pre-developed ANN Model of Siniawan catchment. UNIMAS E-Journal of Civil Engineering, 2 (1).

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Abstract

This study proposes the application of Artificial Neural Network (ANN) in the prediction of hourly water level under tidal influence for Sadong Basin. An ANN is undoubtedly a robust tool for forecasting various non-linear hydrologic processes, including the water level prediction.

Item Type: Article
Uncontrolled Keywords: Artificial Neural Network, Water level Prediction, Back propagation, River bedup, 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 08:27
Last Modified: 23 Mar 2015 08:02
URI: http://ir.unimas.my/id/eprint/3119

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