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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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21#
發(fā)表于 2025-3-25 03:49:03 | 只看該作者
2164-3679 ta, namely significant wave heights and sea levels.Good refe.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
22#
發(fā)表于 2025-3-25 11:02:00 | 只看該作者
23#
發(fā)表于 2025-3-25 13:28:59 | 只看該作者
24#
發(fā)表于 2025-3-25 19:52:59 | 只看該作者
Book 2006n 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 appear
25#
發(fā)表于 2025-3-25 21:39:59 | 只看該作者
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發(fā)表于 2025-3-26 04:02:34 | 只看該作者
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發(fā)表于 2025-3-26 06:15:56 | 只看該作者
28#
發(fā)表于 2025-3-26 11:32:55 | 只看該作者
Application of Approximation Theory and ARIMA Models,hich are a different version of ANN, already studied and explained in detail in Chapter 5, and the classical autoregressive integrated moving average (ARIMA) models widely used in the framework of time-series analysis. We apply both of them to our problem and we show with some examples that the ANN models have a much better performance.
29#
發(fā)表于 2025-3-26 16:21:41 | 只看該作者
30#
發(fā)表于 2025-3-26 17:04:32 | 只看該作者
Brunello Tirozzi,Silvia Puca,Stefano CorsiniSelf-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
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