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Titlebook: Neural Networks and Sea Time Series; Reconstruction and E Brunello Tirozzi,Silvia Puca,Stefano Corsini Book 2006 Birkh?user Boston 2006 Exc

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發(fā)表于 2025-3-21 19:57:37 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Neural Networks and Sea Time Series
副標(biāo)題Reconstruction and E
編輯Brunello Tirozzi,Silvia Puca,Stefano Corsini
視頻videohttp://file.papertrans.cn/664/663708/663708.mp4
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
叢書(shū)名稱Modeling and Simulation in Science, Engineering and Technology
圖書(shū)封面Titlebook: Neural Networks and Sea Time Series; Reconstruction and E Brunello Tirozzi,Silvia Puca,Stefano Corsini Book 2006 Birkh?user Boston 2006 Exc
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
關(guān)鍵詞Excel; Operator; Tide; Time series; algorithm; algorithms; calculus; data analysis; marine; model; sea level
版次1
doihttps://doi.org/10.1007/0-8176-4459-8
isbn_ebook978-0-8176-4459-8Series ISSN 2164-3679 Series E-ISSN 2164-3725
issn_series 2164-3679
copyrightBirkh?user Boston 2006
The information of publication is updating

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Extreme-Value Theory,es the method for deriving the distribution of the maxima in the case of independent random variables from the statistics of the exceedances of the time series over a certain threshold. This method is called POT (peak over threshold) and will be used in Chapter 9 to show the results for sea measurem
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Conclusions,lopment of such instruments. The waves and tides are distinguished and analyzed in detail. Chapter 3 covers the theoretical model currently used for forecasting sea waves. We discussed briefly the problems of the construction of the WAM which is used in Europe for the prediction of waves. We emphasi
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Book 2006eries 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
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initiate the development of new drugs and some of the most attractive over-the-counter human and veterinary remedies. Present article is an overview of the achievements in solid-state technology of the most relevant medicinal mushroom species production in bioreactors.
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that are useful for industrial applications..In these years, researchers have achieved the ability to produce quasi-one-dimensional (Q1D) structures in a variety of morphologies such as nanowires, core shell nanowires, nanotubes, nanobelts, hierarchical structures, nanorods, nanorings. In particular
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