標題: Neural network with multi-trend simulating transfer function for forecasting typhoon wave
作者: Chang, HK
Chien, WA
土木工程學系
Department of Civil Engineering
關鍵字: neural network wave model;trend simulation;transfer function;peak wave height
公開日期: 1-Mar-2006
摘要: This study develops an NN typhoon wave model to accurately and efficiently calculate wave heights at a point of interest. Multi-trend simulating transfer functions were first introduced to exemplify the relationship between wave heights and each conceivable input factor by regressive fitting. The proposed NN-MT model can accurately forecast wave peak with an error of less 1.2 m and with time delay within 3 h and can be extended to cover the station besides the original station of interest. (C) 2005 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.advengsoft.2005.05.001
http://hdl.handle.net/11536/12552
ISSN: 0965-9978
DOI: 10.1016/j.advengsoft.2005.05.001
期刊: ADVANCES IN ENGINEERING SOFTWARE
Volume: 37
Issue: 3
起始頁: 184
結束頁: 194
Appears in Collections:Articles


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