Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/43114
標題: Back-propagation neural network in tidal-level forecasting
作者: Tsai, C.P.
蔡清標
Lee, T.L.
Project: Journal of Waterway Port Coastal and Ocean Engineering-Asce
期刊/報告no:: Journal of Waterway Port Coastal and Ocean Engineering-Asce, Volume 125, Issue 4, Page(s) 195-202.
摘要: 
Reliability of tidal-level forecasting is essential for structure installation and human activities in the marine environment. This paper reports an application of the artificial neural network with back-propagation procedures for accurate forecast of tidal-level variations. Unlike the conventional harmonic analysis, this neural network model forecasts the time series of tidal levels directly using a learning process based on a set of previous data. Two sets of field data with diurnal and semidiurnal tide, respectively, were used to test the performance of the neural network model. Results indicate that the hourly tidal levels over a long duration can be efficiently predicted using only a very short-term hourly tidal record.
URI: http://hdl.handle.net/11455/43114
ISSN: 0733-950X
DOI: 10.1061/(asce)0733-950x(1999)125:4(195)
Appears in Collections:土木工程學系所

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