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標題: Neural network for the prediction and supplement of tidal record in Taichung Harbor, Taiwan
作者: Lee, T.L.
Tsai, C.P.
Jeng, D.S.
Shieh, R.J.
關鍵字: tidal prediction and supplement;spectral analysis;harmonic analysis;artificial neural network
Project: Advances in Engineering Software
期刊/報告no:: Advances in Engineering Software, Volume 33, Issue 6, Page(s) 329-338.
Accurate tidal prediction and supplement is an important task in determining constructions and human activities in coastal and oceanic areas. The harmonic tidal level is conventionally used to predict tide levels. However, determination of the tidal components using the spectral analysis requires a long-term tidal level record (more than one year [Handbook of coastal and ocean engineering 1 (1990)-534]). In addition, calculating the coefficients abbreviated of tide component using the least-squares method also requires a large database of tide measurements. This paper presents an application of the artificial neural network for predicting and supplementing the long-term tidal-level using the short term observed data. On site, tidal-level data at Taichung Harbor in Taiwan will be used to test the performance of the artificial neural network model. The results show that the tidal levels over a long duration can be efficiently predicted or supplemented using only a short-term tidal record. (C) 2002 Elsevier Science Ltd. All rights reserved.
ISSN: 0965-9978
DOI: 10.1016/s0965-9978(02)00043-1
Appears in Collections:土木工程學系所

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