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

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 st...

詳細記述

書誌詳細

第一著者:	Rosmina, Binti Ahmad Bustami
フォーマット:	学位論文
言語:	英語
出版事項:	Universiti Malaysia Sarawak, UNIMAS 2005
主題:	TC Hydraulic engineering. Ocean engineering
オンライン･アクセス:	http://ir.unimas.my/id/eprint/3164/
Abstract	Abstract here