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Modelling for coastal hydraulics and engineering /

"Mechanistic models are often employed to simulate processes in coastal environments. However, these predictive tools are highly specialized, involve certain assumptions and limitations, and can be manipulated only by experienced engineers who have a thorough understanding of the underlying pri...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Chau, Kwok Wing
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London ; New York : Spon Press, 2010.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Chau, Kwok Wing. 
245 1 0 |a Modelling for coastal hydraulics and engineering /  |c K.W. Chau. 
260 |a London ;  |a New York :  |b Spon Press,  |c 2010. 
300 |a 1 online resource (viii, 231 pages) :  |b illustrations, maps 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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504 |a Includes bibliographical references and index. 
505 0 |a Introduction -- Coastal modelling -- Conventional modelling techniques for coastal engineering -- Finite difference methods -- Finite element methods -- Soft computing techniques -- Artificial neural networks -- Fuzzy inference systems -- Evolutionary algorithms -- Knowledge-based systems -- Conclusions. 
588 0 |a Print version record. 
520 2 |a "Mechanistic models are often employed to simulate processes in coastal environments. However, these predictive tools are highly specialized, involve certain assumptions and limitations, and can be manipulated only by experienced engineers who have a thorough understanding of the underlying principles. This results in significant constraints on their manipulation as well as large gaps in understanding and expectations between the developers and users of a model. Recent advancements in soft computing technologies make it possible to integrate machine learning capabilities into numerical modelling systems in order to bridge the gaps and lessen the demands on human experts. This book reviews the state-of-the-art in conventional coastal modelling as well as in the increasingly popular integration of various artificial intelligence technologies into coastal modelling. Conventional hydrodynamic and water quality modelling techniques comprise finite difference and finite element methods. The novel algorithms and methods include knowledge-based systems, genetic algorithms, artificial neural networks, and fuzzy inference systems. Different soft computing methods contribute towards accurate and reliable prediction of coastal processes. Combining these techniques and harnessing their benefits has the potential to make extremely powerful modelling tools."--Provided by publisher. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Coastal engineering  |x Mathematics. 
650 0 |a Coastal engineering  |x Data processing. 
650 0 |a Hydraulic engineering  |x Mathematics. 
650 0 |a Coasts  |x Computer simulation. 
650 0 |a Coast changes  |x Mathematical models. 
650 6 |a Travaux maritimes  |x Mathématiques. 
650 6 |a Travaux maritimes  |x Informatique. 
650 6 |a Technologie hydraulique  |x Mathématiques. 
650 6 |a Littoral  |x Simulation par ordinateur. 
650 6 |a Littoral  |x Modifications  |x Modèles mathématiques. 
650 7 |a TECHNOLOGY & ENGINEERING  |x Hydraulics.  |2 bisacsh 
650 7 |a Coast changes  |x Mathematical models  |2 fast 
650 7 |a Coastal engineering  |x Data processing  |2 fast 
650 7 |a Hydraulic engineering  |x Mathematics  |2 fast 
758 |i has work:  |a Modelling for coastal hydraulics and engineering (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGGFmTdkmRdqT8TrfBYTMd  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Chau, Kwok Wing.  |t Modelling for coastal hydraulics and engineering.  |d London ; New York : Spon Press, 2010  |z 9780415482547  |w (DLC) 2009027718  |w (OCoLC)377837781 
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