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Overview"This self-contained book is devoted to the application of neural networks to the concrete problem of handling the time series of sea data, i.e., significant wave heights and sea levels. Beginning with an explanation of neural networks fundamentals for beginners, the authors follow with a review of general statements and rigorous facts, and conclude with applications and algorithms for particular data sets having well-defined parameters.Specifically analyzed are the time series of measures observed from a system of sea buoys, as well as the reconstruction of missing values that are largely present in these time series. Neural networks are used to solve this problem, and the reconstructed time series are modeled to estimate the probability of large events using extreme value theory. This ability to model and estimate is important for the construction of sea structures, ports, and marine experiments.""Neural Networks and Sea Time Series"" is a unique monograph on the topic and may stimulate new research and results in the field. The book will be a useful resource for a diverse audience of graduate students, researchers and practitioners in applied mathematics, data analysis, meteorology, hydraulic, civil and marine engineering." Full Product DetailsAuthor: Brunello Tirozzi , Silvia Puca , Stefano Pittalis , Antonello BruschiPublisher: Birkhauser Boston Inc Imprint: Birkhauser Boston Inc Edition: 2006 ed. Dimensions: Width: 15.50cm , Height: 1.20cm , Length: 23.50cm Weight: 0.459kg ISBN: 9780817643478ISBN 10: 0817643478 Pages: 180 Publication Date: 21 November 2005 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Out of stock  The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsBasic Notions on Waves and Tides.- The Wave Amplitude Model.- Artificial Neural Networks.- Approximation Theory.- Extreme-Value Theory.- Application of ANN to Sea Time Series.- Application of Approximation Theory and ARIMA Models.- Extreme-Event Analysis.- Generalization to Other Phenomena.- Conclusions.ReviewsThose interested in novel applications of neural networks, or machine learning applications in general, may find this book inspiring. a MathSciNet I strongly encourage both researchers engaged in work on neural networks, data analysis, etc., as well as practitioners to study this very valuable book... --Zentralblatt Math Those interested in novel applications of neural networks, or machine learning applications in general, may find this book inspiring. - MathSciNet Author InformationTab Content 6Author Website:Countries AvailableAll regions |
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