Water level prediction for rivers under tidal influence using artificial neural network

Rosmina, Binti Ahmad Bustami (2005) Water level prediction for rivers under tidal influence using artificial neural network. Masters thesis, Universiti Malaysia Sarawak (UNIMAS).

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Abstract

In this study, Artificial Neural Networks (ANN)s were developed to forecast water level for the next hour and the next 3,6 or 12 hours. The inputs consisted only of the rainfall, predicted tide level and previous water level. Backpropagation (BP) and recurrent (REC) network were selected for this study.

Item Type: Thesis (Masters)
Additional Information: Thesis (M.Sc.) - Universiti Malaysia Sarawak , 2005.
Uncontrolled Keywords: Artificial Neural Network (ANN), research, postgraduate, UNIMAS, Universiti Malaysia Sarawak, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, IPTA, education
Subjects: T Technology > TC Hydraulic engineering. Ocean engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Karen Kornalius
Date Deposited: 10 Jun 2014 03:15
Last Modified: 09 Mar 2020 03:16
URI: http://ir.unimas.my/id/eprint/3164

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