Soft Computing in Water Resources Engineering: Artificial Neural Networks, Fuzzy Logic and Genetic Algorithms - Hardcover

G. Tayfur

Hardcover

ISBN 10: 1845646363 ISBN 13: 9781845646363

Publisher: WIT Press / Computational Mechanics, 2011

Synopsis

Attempts have been made to solve water resources engineering problems with the help of empirical, regression-based and numerical models. Empirical models are not universal, nor are the regression-based models. The numerical models are, on the other hand, physics-based but require substantial data measurement and parameter estimation. Hence, there is a need to employ models that are robust, user-friendly, practical and do not have the shortcomings of the existing methods. Artificial intelligence methods in this regard are the ones that meet this need. This book introduces the basics of artificial neural networks, fuzzy logic and genetic algorithms with illustrative examples. The applications of the artificial intelligence methods include, but not limited to, prediction of flood peaks, hydrographs, sedimentographs, seepage path, longitudinal dispersion coefficient in alluvial channels, mean and bankful discharge. The comparative analysis of the artificial intelligence methods against contemporary empirical, numerical, regression ones are also provided in the book.The target audiences for this book are graduate students, researchers, scientists and faculty members. However, the book can also be used as one of the core textbooks for undergraduate students.

About this title

About the Author

Prof. Dr. Gokmen TAYFUR is an associate professor in the Civil Engineering Department at the Izmir Institute of Technology where he teaches graduate courses on numerical methods in engineering, artificial intelligence methods in engineering, hydrology and hydraulics, and non-point source pollution. He also teaches undergraduate courses on numerical methods and analysis in engineering, He received his Ph.D. and MS degrees from the University of California in Davis and his undergraduate degree from Istanbul Technical University. His research interests include Surface and subsurface flows; Rainfall-runoff induced erosion/sediment transport; Solute transport in saturated and unsaturated zone; Solute transport by surface flows; Application of artificial intelligence methods in water resources engineering and water quality. He has written numerous conference and journal papers and research reports on those topics.

Edition details

• Publisher: WIT Press / Computational Mechanics
• Publication date: 2011
• Language: English
• ISBN 10: 1845646363
• ISBN 13: 9781845646363
• Binding: Hardcover
• Edition number: 1
• Number of pages: 288