Brunello Tirozzi, Silvia Puca, Stefano Pittalis, Antonello Bruschi, Sara Morucci, Enrico Ferraro, Stefano Corsini

Neural Networks and Sea Time Series (eBook, PDF)

Reconstruction and Extreme-Event Analysis

• Format: PDF

Produktbeschreibung

Increasingly, neural networks are used and implemented in a wide range of fields and have become useful tools in probabilistic analysis and prediction theory. This book-unique in the literature-studies the application of neural networks to the analysis of time series of sea data, namely significant wave heights and sea levels. The particular problem examined as a starting point is the reconstruction of missing data, a general problem that appears in many cases of data analysis.

This careful blend of theory and applications is an excellent introduction to the use of artificial neural networks, which may encourage readers to try analogous approaches in other important application areas. Researchers, practitioners, and advanced graduate students in neural networks, hydraulic and marine engineering, prediction theory, and data analysis will benefit from the results and novel ideas presented in this useful resource.

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Produktdetails

• Verlag: Birkhäuser Boston
• Seitenzahl: 180
• Erscheinungstermin: 12. Oktober 2007
• Englisch
• ISBN-13: 9780817644598
• Artikelnr.: 37343605

Autorenporträt

Brunello Tirozzi, University of Rome "La Sapienza," Rome, Italy / Silvia Puca, European Meteorological Satellite Org., Rome, Italy / Stefano Pittalis, University of Rome "La Sapienza," Rome, Italy / Antonello Bruschi, University of Rome "La Sapienza," Rome, Italy / Sara Morucci, University of Rome "La Sapienza," Rome, Italy / Enrico Ferraro, University of Rome "La Sapienza," Rome, Italy / Stefano Corsini, Agenzia per la Protezione dell'Ambiente e per i Servizi Tecnici, Rome, Italy

Inhaltsangabe

Basic 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.

Rezensionen

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