Neural networks and sea time series : reconstruction and extreme event analysis
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. TOC:* Introduction * Penomenology of the Waves and Tides * Models of Waves and Tides * Artificial Neural Networks * Approximation Theory * Ectreme Value Theory * Application of ANN to Sea Time Series * Application of Approximation theory and ARMA models * Neural Networks and Extreme Events * Other Stations around Italy, American Buoys * Temperatures, Precipitations, Geological Maps * References * Index
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9780817643478
0817643478
- Dimensions
-
25 cm
- Extent
-
X, 179 S.
- Language
-
Englisch
- Notes
-
graph. Darst., Kt.
Literaturverz. S. 171 - 174
- Classification
-
Geowissenschaften
- Keyword
-
Gezeiten
Ereignisdatenanalyse
Neuronales Netz
- Event
-
Veröffentlichung
- (where)
-
Boston, Basel, Berlin
- (who)
-
Birkhäuser
- (when)
-
2006
- Contributor
- Table of contents
- Rights
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Last update
-
11.03.2025, 12:15 PM CET
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Tirozzi, Brunello
- Birkhäuser
Time of origin
- 2006
Other Objects (12)
Extreme events: maintenance mechanisms and energetics
Extreme events and optimal monetary policy
Extreme events in nature and society
Reconstruction of Neutrino Events in IceCube using Graph Neural Networks
Extreme weather events : economic theory and modeling
Perturbation Growth and Prediction of Extreme Events
Determinism and predictability in extreme event systems
Uncertainty and Monetary Policy during Extreme Events
Extreme hydrological events
Extreme events session
Graph Neural Networks for low-energy event classification & reconstruction in IceCube
Graph Neural Networks for low-energy event classification & reconstruction in IceCube
Extreme events: maintenance mechanisms and energetics
Extreme events and optimal monetary policy
Extreme events in nature and society
Reconstruction of Neutrino Events in IceCube using Graph Neural Networks
Extreme weather events : economic theory and modeling
Perturbation Growth and Prediction of Extreme Events
Determinism and predictability in extreme event systems
Uncertainty and Monetary Policy during Extreme Events
Extreme hydrological events
Extreme events session
Graph Neural Networks for low-energy event classification & reconstruction in IceCube
Graph Neural Networks for low-energy event classification & reconstruction in IceCube
Extreme events: maintenance mechanisms and energetics
Extreme events and optimal monetary policy
Extreme events in nature and society
Reconstruction of Neutrino Events in IceCube using Graph Neural Networks
Extreme weather events : economic theory and modeling
Perturbation Growth and Prediction of Extreme Events
Determinism and predictability in extreme event systems
Uncertainty and Monetary Policy during Extreme Events
Extreme hydrological events
Extreme events session
Graph Neural Networks for low-energy event classification & reconstruction in IceCube