期刊
COASTAL ENGINEERING
卷 55, 期 5, 页码 357-374出版社
ELSEVIER
DOI: 10.1016/j.coastaleng.2007.12.002
关键词
wave overtopping; artificial neural network; neural model; prediction method; coastal structures
A 2-phases neural prediction method for wave overtopping is developed. The 'classifier' predicts whether overtopping occurs or not, i.e. q=0 or q>0. If the classifier predicts overtopping q>0, then the 'quantifier' is used to determine the mean overtopping discharge. The overtopping database set up within the EC project CLASH (De Rouck, J., Geeraerts, J., 2005. CLASH Final Report, Full Scientific and Technical Report, Ghent University, Belgium) is used to train the networks of the prediction method. The method has an overall predictive capacity, and is able to distinguish negligible from significant overtopping, avoiding large overtopping overpredictions in the area of low overtopping. The prediction method is freely available on http://awww.ugent.be/awww/coastal/verhaeghe2005. html. (C) 2008 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据