Course Information

Course Name	Turkish	Yapay Sinir Ağları, Sistem Tanıma ve Control
	English	A.Neur.Netwoks for Syst.Identf
Course Code	ELK 502E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	2	3	3	-	-
Course Language		English
Course Coordinator		Şahin Serhat Şeker
Course Objectives		1. To give the basic concepts in system identification and control theory using the artificial neural nets 2. To Desing aneuro controller 3. to design self-tuning neuro controller 4. to get the system modelling by neural nets
Course Description		1. General concept of signals and systems 2. Fundamentals of Artificial Neural Nets and comparisons with Biological neorons 3. Types of the neuraş nets and learning algorithms 4. Back Propagation Aşgorithm 5. Recurrent Neural Nets System Identification and modelling of the Stochastic processes 6. Various neura net topologies for system modelling 7. AR Modelling 8. ARMA modelling 9. Classical controllers 10. Neuro Controller design and applications 11. Self Tuning Neuro Controler for linear and nonlinear s
Course Outcomes		1. To use the basics of the control theory 2. To use the Artificial Neural Network approaches for system modelling 3. To desig the neuro controllers for linear and nonlinear systems 4. To get the random process models on the data 5.. To combine the Random process concept with the Neural net structure
Pre-requisite(s)		No condition
Required Facilities
Other
Textbook
Other References