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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Détails bibliographiques
Auteur principal:	Rosmina, Binti Ahmad Bustami
Format:	Thèse
Langue:	anglais
Publié:	Universiti Malaysia Sarawak, UNIMAS 2005
Sujets:	TC Hydraulic engineering. Ocean engineering
Accès en ligne:	http://ir.unimas.my/id/eprint/3164/
Abstract	Abstract here

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