Neural networks and sea time series : reconstruction and extreme-event analysis
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...
Guardat en:
| Autors principals: | , , , , , , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Boston, MA :
Birkhäuser Boston
[20..].
Cham : Springer Nature |
| Col·lecció: | Modeling and Simulation in Science, Engineering and Technology
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| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Neural networks and sea time series, reconstruction and extreme-event analysis, Brunello Tirozzi ... [et al.], Boston, Birkhäuser, 2006, 1 vol. (x, 179 p.), Modeling and simulation in science, engineering & technology, 0-8176-4347-8 |
Taula de continguts:
- 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