书目名称 | Neural Networks and Sea Time Series |
副标题 | Reconstruction and E |
编辑 | Brunello Tirozzi,Silvia Puca,Stefano Corsini |
视频video | |
概述 | Self-contained book, unique in the literature.Devoted to the application of neural networks to the concrete problem of time series of sea data, namely significant wave heights and sea levels.Good refe |
丛书名称 | Modeling and Simulation in Science, Engineering and Technology |
图书封面 |  |
描述 | .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....Specific topics covered include:...* Presentation of general information on the phenomenology of waves and tides, as well as related technical details of various measuring processes used in the study...* Description of the model of wind waves (WAM) used to determine the spectral function of waves and predict the behavior of SWH (significant wave heights); a comparison is made of the reconstruction of SWH time series obtained by means of neural networks algorithms versus SWH computed by WAM...* Principles of artificial neural networks, approximation theory, and extreme-value theory necessary to understand the main applications of the book...* Application of artificial neural networks (ANN) to reconstruct S |
出版日期 | Book 2006 |
关键词 | Excel; Operator; Tide; Time series; algorithm; algorithms; calculus; data analysis; marine; model; sea level |
版次 | 1 |
doi | https://doi.org/10.1007/0-8176-4459-8 |
isbn_ebook | 978-0-8176-4459-8Series ISSN 2164-3679 Series E-ISSN 2164-3725 |
issn_series | 2164-3679 |
copyright | Birkhäuser Boston 2006 |