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Neural Networks and Sea Time Series (Record no. 508533)

000 -LEADER
fixed length control field 04756nam a22007095i 4500
001 - CONTROL NUMBER
control field 978-0-8176-4459-8
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20161121231109.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100301s2006 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780817644598
-- 978-0-8176-4459-8
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/0-8176-4459-8
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA703-705.4
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA775-787
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TC1-1800
072 #7 - SUBJECT CATEGORY CODE
Subject category code RBP
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code RBGK
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI042000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 624.15
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Tirozzi, Brunello.
Relator term author.
245 10 - TITLE STATEMENT
Title Neural Networks and Sea Time Series
Medium [electronic resource] :
Remainder of title Reconstruction and Extreme-Event Analysis /
Statement of responsibility, etc. by Brunello Tirozzi, Silvia Puca, Stefano Pittalis, Antonello Bruschi, Sara Morucci, Enrico Ferraro, Stefano Corsini.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Boston, MA :
Name of producer, publisher, distributor, manufacturer Birkhäuser Boston,
Date of production, publication, distribution, manufacture, or copyright notice 2006.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 180 p. 64 illus.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Modeling and Simulation in Science, Engineering and Technology
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Basic 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 ## - SUMMARY, ETC.
Summary, etc. 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 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 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical models.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Probabilities.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistical physics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Dynamical systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Fluid mechanics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Engineering geology.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Engineering
General subdivision Geology.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Foundations.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Hydraulics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Geoengineering, Foundations, Hydraulics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Probability Theory and Stochastic Processes.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistical Theory and Methods.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Engineering Fluid Dynamics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistical Physics, Dynamical Systems and Complexity.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical Modeling and Industrial Mathematics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Puca, Silvia.
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pittalis, Stefano.
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bruschi, Antonello.
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Morucci, Sara.
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ferraro, Enrico.
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Corsini, Stefano.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9780817643478
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Modeling and Simulation in Science, Engineering and Technology
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/0-8176-4459-8
912 ## -
-- ZDB-2-ENG
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Barcode Date last seen Price effective from Koha item type
        PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2016-11-21 EBK8820 2016-11-21 2016-11-21 E books

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