Filling gaps in wave records with artificial neural networks

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Filling gaps in wave records with artificial neural networks

This contribution presents a neural data interpolation methodology, which was implemented to restore missing wave measurements. The methodology is based on the ability of artificial neural networks to find and reproduce non-linear dependencies within complex geophysical systems. The data were obtain...

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Bibliographic Details
Main Authors:	Makarynskyy, Oleg, Makarynska, D., Rusu, E., Gavrilov, Alexander
Format:	Conference Paper
Published:	Balkema 2005
Subjects:	artificial intelligence data measurements interpolation simulation significant wave height
Online Access:	http://www.tandf.co.uk http://hdl.handle.net/20.500.11937/40874

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