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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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

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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

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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

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Genistein

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.

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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

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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