Course
code EE713
credit_hours 3
title Neuro-Fuzzy Control Systems
arbic title
prequisites None
credit hours 3
Describtion/Outcomes Introduction and different architectures of neural networks and N.N. Control. Introduction to fuzzy logic and fuzzy logic controls.
arabic Describtion/Outcomes
objectives Students completing this course will obtain a basic understanding of fuzzy logic systems and artificial neural networks and will know these techniques are applied to control systems.
arabic objectives
ref. books Tsoukalas L.H, and Robert E.Uhrig, Fuzzy and Neural approach in Engineering, John Wiley and Sons, 1997. Jacek M.Zurada, Introduction to artificial Neural Systems, Jaico Publishing House Mumbai, 1997. Klir G.J and Yuan B.B, Fuzzy sets and fuzzy logic, Prentice Hall of India, New Delhi, 1997. Driankov D., Hellendron. H. Reinfrank M., An Intrtoduction to Fuzzy control, Narosa publishing House, New Delhi, 1996. Millon W. T., Sutton R.S. and Webrose P.J., Neural Networks for control, MIT Press, 1992.
arabic ref. books
textbook
arabic textbook
objective set
content set
Course Content
content serial describtion
1 Artificial neuron.
2 Back propagation.
3 Hope field networks.
4 Kohonen self-organizing maps.
5 Schemes of neuro control.
6 Identification and control of dynamical systems.
7 Fuzzy stes and fuzzy relations.
8 Fuzzy rules and fuzzy algorithm.
9 Fuzzy logic controller.
10 Fuzzification and defuzzification interfaces.
11 Decision making logic.
12 Design of fuzzy logic controller.
13 Optimization of membership and rule base of fuzzy logic controller using neural networks.
14 Optimization of membership and rule base of fuzzy logic controller using neural networks.
15 Fuzzy neuron.
16 Final Exam.