000			04756nam a22007095i 4500
001			978-0-8176-4459-8
003			DE-He213
005			20161121231109.0
007			cr nn 008mamaa
008			100301s2006 xxu| s |||| 0|eng d
020			_a9780817644598 _9978-0-8176-4459-8
024	7		_a10.1007/0-8176-4459-8 _2doi
050		4	_aTA703-705.4
050		4	_aTA775-787
050		4	_aTC1-1800
072		7	_aRBP _2bicssc
072		7	_aRBGK _2bicssc
072		7	_aSCI042000 _2bisacsh
082	0	4	_a624.15 _223
100	1		_aTirozzi, Brunello. _eauthor.
245	1	0	_aNeural Networks and Sea Time Series _h[electronic resource] : _bReconstruction and Extreme-Event Analysis / _cby Brunello Tirozzi, Silvia Puca, Stefano Pittalis, Antonello Bruschi, Sara Morucci, Enrico Ferraro, Stefano Corsini.
264		1	_aBoston, MA : _bBirkhäuser Boston, _c2006.
300			_aXII, 180 p. 64 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aModeling and Simulation in Science, Engineering and Technology
505	0		_aBasic Notions on Waves and Tides -- The Wave Amplitude Model -- Artificial Neural Networks -- Approximation Theory -- Extreme-Value Theory -- Application of ANN to Sea Time Series -- Application of Approximation Theory and ARIMA Models -- Extreme-Event Analysis -- Generalization to Other Phenomena -- Conclusions.
520			_aIncreasingly, 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 network 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 SWH and sea levels (SL) * Comparison of the ANN approach and the approximation operator approach, displaying the advantages of ANN * Examination of extreme-event analysis applied to the time series of sea data in specific locations * Generalizations of ANN to treat analogous problems for other types of phenomena and data This book, a careful blend of theory and applications, is an excellent introduction to the use of ANN, which may encourage readers to try analogous approaches in other important application areas. Researchers, practitioners, and advanced graduate students in neural networks, hydraulic and marine engineering, prediction theory, and data analysis will benefit from the results and novel ideas presented in this useful resource.
650		0	_aEngineering.
650		0	_aMathematical models.
650		0	_aProbabilities.
650		0	_aStatistical physics.
650		0	_aDynamical systems.
650		0	_aStatistics.
650		0	_aFluid mechanics.
650		0	_aEngineering geology.
650		0	_aEngineering _xGeology.
650		0	_aFoundations.
650		0	_aHydraulics.
650	1	4	_aEngineering.
650	2	4	_aGeoengineering, Foundations, Hydraulics.
650	2	4	_aProbability Theory and Stochastic Processes.
650	2	4	_aStatistical Theory and Methods.
650	2	4	_aEngineering Fluid Dynamics.
650	2	4	_aStatistical Physics, Dynamical Systems and Complexity.
650	2	4	_aMathematical Modeling and Industrial Mathematics.
700	1		_aPuca, Silvia. _eauthor.
700	1		_aPittalis, Stefano. _eauthor.
700	1		_aBruschi, Antonello. _eauthor.
700	1		_aMorucci, Sara. _eauthor.
700	1		_aFerraro, Enrico. _eauthor.
700	1		_aCorsini, Stefano. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780817643478
830		0	_aModeling and Simulation in Science, Engineering and Technology
856	4	0	_uhttp://dx.doi.org/10.1007/0-8176-4459-8
912			_aZDB-2-ENG
950			_aEngineering (Springer-11647)
999			_c508533 _d508533