標(biāo)題: Titlebook: Neural Networks and Sea Time Series; Reconstruction and E Brunello Tirozzi,Silvia Puca,Stefano Corsini Book 2006 Birkh?user Boston 2006 Exc [打印本頁] 作者: 和善 時(shí)間: 2025-3-21 19:57
書目名稱Neural Networks and Sea Time Series影響因子(影響力)
書目名稱Neural Networks and Sea Time Series影響因子(影響力)學(xué)科排名
書目名稱Neural Networks and Sea Time Series網(wǎng)絡(luò)公開度
書目名稱Neural Networks and Sea Time Series網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Neural Networks and Sea Time Series被引頻次
書目名稱Neural Networks and Sea Time Series被引頻次學(xué)科排名
書目名稱Neural Networks and Sea Time Series年度引用
書目名稱Neural Networks and Sea Time Series年度引用學(xué)科排名
書目名稱Neural Networks and Sea Time Series讀者反饋
書目名稱Neural Networks and Sea Time Series讀者反饋學(xué)科排名
作者: Dappled 時(shí)間: 2025-3-21 21:34
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作者: 颶風(fēng) 時(shí)間: 2025-3-22 01:00
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作者: blithe 時(shí)間: 2025-3-22 07:39
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作者: 個(gè)阿姨勾引你 時(shí)間: 2025-3-22 10:39
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.作者: 遵循的規(guī)范 時(shí)間: 2025-3-22 16:45 作者: DEAWL 時(shí)間: 2025-3-22 17:03 作者: 收藏品 時(shí)間: 2025-3-22 21:24 作者: Inexorable 時(shí)間: 2025-3-23 02:32
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作者: 捏造 時(shí)間: 2025-3-23 06:53 作者: HARP 時(shí)間: 2025-3-23 10:20
Basic Notions on Waves and Tides,efinitions of the quantities describing waves and a description of the current instruments and methodologies for their measurement. We describe the network of buoys used for attaining the significant wave height (SWH) time series analyzed in this book. We use a similar approach for tides: some of th作者: 有權(quán)威 時(shí)間: 2025-3-23 16:53
The Wave Amplitude Model, we will compare the results of neural network (NN) reconstruction with those of the wave amplitude model (WAM) model. This comparison is done to check the order of magnitude of the significant wave height (SWH) reconstructed by means of the NN. Moreover, an understanding of this chapter is useful t作者: intrude 時(shí)間: 2025-3-23 21:30 作者: 男生如果明白 時(shí)間: 2025-3-23 23:29
Approximation Theory,of the sigmoidal function corresponding to an NN can approximate any function is a simple consequence of the Stone-Weierstrass theorem and so such an approach is a convincing one. Furthermore, in the case of approximation theory the synaptic weights are given by some a priori estimates and in many c作者: 本能 時(shí)間: 2025-3-24 04:26 作者: Genistein 時(shí)間: 2025-3-24 09:32
Application of ANN to Sea Time Series,ight (SWH) measurements. As specified in Chapter 2, SL is the height of the tide, and SWH is the significant wave height. The phenomenologies of the two time series are different and each has its own problems.作者: calorie 時(shí)間: 2025-3-24 13:05
Application of Approximation Theory and ARIMA Models,m. Many algorithms, unlike ANN and simply NN, have been used for solving analogous problems. We selected two algorithms: the approximation operators which are a different version of ANN, already studied and explained in detail in Chapter 5, and the classical autoregressive integrated moving average 作者: 贊美者 時(shí)間: 2025-3-24 18:15 作者: 天真 時(shí)間: 2025-3-24 22:48 作者: Externalize 時(shí)間: 2025-3-24 23:34
Conclusions,r developing the analysis. The choice among the different algorithms has not been simple; we think that we have solved it in the optimal way, according to our taste and interests. The first principle used for collecting the various chapters has been to bring together all the theoretical and experime作者: fibula 時(shí)間: 2025-3-25 03:49
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作者: OPINE 時(shí)間: 2025-3-25 11:02 作者: 墻壁 時(shí)間: 2025-3-25 13:28 作者: ARBOR 時(shí)間: 2025-3-25 19:52
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作者: Mendacious 時(shí)間: 2025-3-25 21:39 作者: Mnemonics 時(shí)間: 2025-3-26 04:02 作者: inconceivable 時(shí)間: 2025-3-26 06:15 作者: Petechiae 時(shí)間: 2025-3-26 11:32
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.作者: anatomical 時(shí)間: 2025-3-26 16:21 作者: 悠然 時(shí)間: 2025-3-26 17:04
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作者: Anthem 時(shí)間: 2025-3-26 21:16
Modeling and Simulation in Science, Engineering and Technologyhttp://image.papertrans.cn/n/image/663708.jpg作者: 低能兒 時(shí)間: 2025-3-27 03:32 作者: Melatonin 時(shí)間: 2025-3-27 08:34 作者: 潛伏期 時(shí)間: 2025-3-27 09:27
Birkh?user Boston 2006作者: 郊外 時(shí)間: 2025-3-27 16:49
Neural Networks and Sea Time Series978-0-8176-4459-8Series ISSN 2164-3679 Series E-ISSN 2164-3725 作者: 大喘氣 時(shí)間: 2025-3-27 21:11
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