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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Format: | Book |
Language: | English |
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London ; New York :
Spon Press,
2010
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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 | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a data file |2 rda | ||
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 | |
650 | 0 | |a Coasts |x Computer simulation | |
650 | 0 | |a Hydraulic engineering |x Mathematics | |
650 | 6 | |a Littoral |x Modifications |x Modèles mathématiques | |
650 | 6 | |a Littoral |x Simulation par ordinateur | |
650 | 6 | |a Technologie hydraulique |x Mathématiques | |
650 | 6 | |a Travaux maritimes |x Informatique | |
650 | 6 | |a Travaux maritimes |x Mathématiques | |
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 | |
650 | 7 | |a TECHNOLOGY & ENGINEERING |x Hydraulics |2 bisacsh | |
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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