Title: | Neural network with multi-trend simulating transfer function for forecasting typhoon wave |
Authors: | Chang, HK Chien, WA 土木工程學系 Department of Civil Engineering |
Keywords: | neural network wave model;trend simulation;transfer function;peak wave height |
Issue Date: | 1-Mar-2006 |
Abstract: | 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 |
Journal: | ADVANCES IN ENGINEERING SOFTWARE |
Volume: | 37 |
Issue: | 3 |
Begin Page: | 184 |
End Page: | 194 |
Appears in Collections: | Articles |
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