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...

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書目詳細資料

主要作者:	Rosmina, Binti Ahmad Bustami
格式:	Thesis
語言:	英语
出版:	Universiti Malaysia Sarawak, UNIMAS 2005
主題:	TC Hydraulic engineering. Ocean engineering
在線閱讀:	http://ir.unimas.my/id/eprint/3164/
Abstract	Abstract here