CE7015 – SOFT COMPUTING METHODS FOR WATER RESOURCES MANAGEMENT

March 2023

Instructor: Dr. Elçin Kentel

K4 Bldg., 103

Phone: 2105412

Email: ekentel@metu.edu.tr

Schedule

Wednesday, 13:40-16:40

Course Content

Water resources planning and management under uncertainty, need for soft computing techniques, soft computing techniques such as artificial neural networks (ANN), fuzzy inference systems (FIS), genetic algorithms (GA), application of these techniques to water resources engineering problems such as river flow estimation, reservoir operation, etc.

Suggested References

• Piegat, A. (2001) Fuzzy Modeling and Control, Physica-Verlag, A Springer-Verlag Company, Heidelberg; New York.
• Lilly, J.H. (2010) Fuzzy Control and Identification. John Wiley & Sons, Inc., Hoboken, New Jersey
• Ross, T.J. (2004) Fuzzy Logic with Engineering Applications. John Wiley & Sons Ltd., West Sussex, England.
• Callan Robert (1999) The Essence of Neural Networks, Prentice Hall Europe, London.
• Haupt, R. L. and Haupt, S. L. (1998) Practical Genetic Algorithms. John Wiley & Sons, Inc., New York.

Course Outline

1. Introduction to Soft Computing
2. Uncertainty, probability, fuzzy
3. Hydrosystems
   1. Simulation versus optimization
   2. Design versus analysis
4. Fuzzy Sets
5. Fuzzy Relations
6. Fuzzy Inference Systems
7. Artificial Neural Networks
8. Genetic Algorithms

Tentative Grading

Quiz and homeworks    15%

1st MT                         20%

2nd MT                        20%

Paper/Project              15%

Final                             30%