Neural network with multi-trend simulating transfer function for forecasting typhoon wave

doi:10.1016/j.advengsoft.2005.05.001

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	Chang, HK	en_US
dc.contributor.author	Chien, WA	en_US
dc.date.accessioned	2014-12-08T15:17:12Z	-
dc.date.available	2014-12-08T15:17:12Z	-
dc.date.issued	2006-03-01	en_US
dc.identifier.issn	0965-9978	en_US
dc.identifier.uri	http://dx.doi.org/10.1016/j.advengsoft.2005.05.001	en_US
dc.identifier.uri	http://hdl.handle.net/11536/12552	-
dc.description.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.	en_US
dc.language.iso	en_US	en_US
dc.subject	neural network wave model	en_US
dc.subject	trend simulation	en_US
dc.subject	transfer function	en_US
dc.subject	peak wave height	en_US
dc.title	Neural network with multi-trend simulating transfer function for forecasting typhoon wave	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1016/j.advengsoft.2005.05.001	en_US
dc.identifier.journal	ADVANCES IN ENGINEERING SOFTWARE	en_US
dc.citation.volume	37	en_US
dc.citation.issue	3	en_US
dc.citation.spage	184	en_US
dc.citation.epage	194	en_US
dc.contributor.department	土木工程學系	zh_TW
dc.contributor.department	Department of Civil Engineering	en_US
dc.identifier.wosnumber	WOS:000235690500005	-
dc.citation.woscount	8	-
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