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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Bibliographic Details
Main Author: Chau, Kwok Wing
Format: Book
Language:English
Published: London ; New York : Spon Press, 2010
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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 
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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 
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 
588 0 |a Print version record 
650 0 |a Coast changes  |x Mathematical models 
650 0 |a Coastal engineering  |x Data processing 
650 0 |a Coastal engineering  |x Mathematics 
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650 0 |a Hydraulic engineering  |x Mathematics 
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650 6 |a Technologie hydraulique  |x Mathématiques 
650 6 |a Travaux maritimes  |x Informatique 
650 6 |a Travaux maritimes  |x Mathématiques 
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650 7 |a Coastal engineering  |x Data processing  |2 fast 
650 7 |a Hydraulic engineering  |x Mathematics  |2 fast 
650 7 |a TECHNOLOGY & ENGINEERING  |x Hydraulics  |2 bisacsh 
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