Neural Networks and Sea Time Series Reconstruction and Extreme-Event Analysis /

• Main Authors: Tirozzi, Brunello (Author), Puca, Silvia (Author), Pittalis, Stefano (Author), Bruschi, Antonello (Author), Morucci, Sara (Author), Ferraro, Enrico (Author), Corsini, Stefano (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Birkhäuser Boston, 2006.
• Series: Modeling and Simulation in Science, Engineering and Technology
• Subjects: Engineering.; Mathematical models.; Probabilities.; Statistical physics.; Dynamical systems.; Statistics.; Fluid mechanics.; Engineering geology.; Engineering > Geology.; Foundations.; Hydraulics.; Geoengineering, Foundations, Hydraulics.; Probability Theory and Stochastic Processes.; Statistical Theory and Methods.; Engineering Fluid Dynamics.; Statistical Physics, Dynamical Systems and Complexity.; Mathematical Modeling and Industrial Mathematics.

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...

Table of Contents:

• 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.