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Modelling for Coastal Hydraulics and Engineering

Autor K. W. Chau
en Limba Engleză Hardback – 18 ian 2010
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.
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Specificații

ISBN-13: 9780415482547
ISBN-10: 0415482542
Pagini: 240
Ilustrații: 26 tables and 30 line drawings
Dimensiuni: 156 x 234 x 23 mm
Greutate: 0.48 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press

Public țintă

Professional Practice & Development

Cuprins

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

Notă biografică

K.W. Chau is an Associate Professor at Hong Kong Polytechnic University.

Descriere

This volume reviews the state-of-the-art in conventional coastal modelling as well as the increasingly popular integration of various artificial intelligence technologies into coastal modelling. It examines conventional hydrodynamic and water quality modelling techniques, finite difference and finite element methods, novel and genetic algorithms, knowledge-based systems, artificial neural networks, and fuzzy inference systems. The author discusses soft computing methods that contribute to accurate and reliable prediction of coastal processes and describes how combining these techniques and harnessing their benefits has the potential to make extremely powerful modelling tools.