03931oam 2200721I 450 991078107710332120230803220020.00-429-18292-91-4822-6646-61-282-56905-897866125690500-203-88476-010.1201/9781482266467 (CKB)2550000000006744(EBL)481073(OCoLC)609640918(SSID)ssj0000363270(PQKBManifestationID)11304669(PQKBTitleCode)TC0000363270(PQKBWorkID)10387405(PQKB)11732231(MiAaPQ)EBC481073(Au-PeEL)EBL481073(CaPaEBR)ebr10370134(CaONFJC)MIL256905(OCoLC)1027759383(EXLCZ)99255000000000674420180706d2014 uy 0engur|n|---|||||txtccrModelling for Coastal Hydraulics and Engineering /K. W. ChauFirst edition.Boca Raton, FL :CRC Press,2014.1 online resource (240 p.)Description based upon print version of record.0-367-38449-3 0-415-48254-2 Includes bibliographical references and index.Book Cover; Title; Copyright; Contents; 1 Introduction; 2 Coastal modelling; 3 Conventional modelling techniques for coastal engineering; 4 Finite difference methods; 5 Finite element methods; 6 Soft computing techniques; 7 Artificial neural networks; 8 Fuzzy inference systems; 9 Evolutionary algorithms; 10 Knowledge-based systems; 11 Conclusions; References; Index"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.Coastal engineeringMathematicsCoastal engineeringData processingHydraulic engineeringMathematicsCoastsComputer simulationCoast changesMathematical modelsCoastal engineeringMathematics.Coastal engineeringData processing.Hydraulic engineeringMathematics.CoastsComputer simulation.Coast changesMathematical models.627627/.580151Chau K. W.878692MiAaPQMiAaPQMiAaPQBOOK9910781077103321Modelling for Coastal Hydraulics and Engineering3740735UNINA