450-2029/01 – Artificial Intelligence Systems (SsUI)

Gurantor departmentDepartment of Cybernetics and Biomedical EngineeringCredits4
Subject guarantordoc. Ing. Martin Černý, Ph.D.Subject version guarantordoc. Ing. Martin Černý, Ph.D.
Study levelundergraduate or graduateRequirementOptional
Year3Semesterwinter
Study languageCzech
Year of introduction2010/2011Year of cancellation
Intended for the facultiesFEIIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
CER275 doc. Ing. Martin Černý, Ph.D.
KOD0018 Ing. Pavel Kodytek
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Graded credit 2+2
Combined Graded credit 2+12

Subject aims expressed by acquired skills and competences

The subject represents the introduction to the principles of scientific field of artificial intelligence. The goal of subject is introduce students on analysis and design of artificial intelligence tolls in the field of engineering. Students will be ready for practical use of basic artificial intelligence tools namely fuzzy expert systems, artificial neural networks and genetic algorithms in their diploma works and next praxix.

Teaching methods

Lectures
Individual consultations
Tutorials
Experimental work in labs

Summary

The course is focused on the area of artificial intelligent methods application in engineering systems. It presents the sources and principles of artificial intelligence, introduces the classical and multivalue logics. The subject introduces the principles of spars knowledge using, principles of fuzzy mathematics, fuzzy logic and its application in modern expert systems and fuzzy controllers. It presents the principles of probability systems, neural networks and genetic algorithms and applications of this tools in modern cybernetics and robotics systems.

Compulsory literature:

RUSSEL,S., NORVIG,P.: Artificial Intelligence, Prentice-Hall, Inc., 2003, ISBN 0-13-080302-2 LUGER,G.F., STUBBLEFIELD,W.A.: Artificial Intelligence, The Benjamin/Cummings Publishing Company, Inc., 2009, ISBN-13: 978-0-321-54589-3 ISBN-10: 0-321-54589-3 ZIMMERMANN,H.J. Fuzzy Set Theory - and Its Applications. Kluwer Academic Publishers, 2001. ISBN-13: 978-0792374350

Recommended literature:

C. R. REEVES, J. E. ROW,. Genetic Algorithms: Principles and Perspectives. Kluwer Academic Publishers, New York, 2002. GRAUPE,D. Principles of Artificial Neural Netvorks. World Scientific. 2013. ISBN: 978-981-4522-73-1

Way of continuous check of knowledge in the course of semester

Verification of study: The current activity of student is done through his laboratory activities. Conditions for graded credit: Student can gain up to 40 (min 21) points from the laboratory works and 60 (min 30) points from the final written proof.

E-learning

Další požadavky na studenta

There are not defined other requirements for student

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Lectures: 1. Introduction on artificial intelligence scientific field. Principles of artificial intelligence, importace of knowledge in problem solving tasks 2. Problem solving procedures in classical logic 3. Methods of computer knowledge reprezentation 4. Mathematic and linguistc modelling 5. Vagueness formalization of knowledge in linguistic models 6. Principles of fuzzy set and fuzy logic theory 7. Fuzzy models of Mandami type, fuzzy controllers Mandami type 8. Fuzzy models of Takagi-Sugeno type, T-S controlles 9. Diagnostic and planning expert systems 10. Probabilistic expert systems 11. Topology and functions of multilayer artificial neural networks 12. Genetic algorithms - versatil optimization methods 13. Neural network optimization using GA 14. Fuzzy controller optimization using GA Laboratories: 1. Fuzzy controller using microcomputer 2. Fuzzy controller using PLC Computer labs: 1. Computer system MATLAB, Fuzzy ToolBox 2. Fuzzy sets and vagueness objects reprezentation in MATLAB 3. Fuzzy conditonal rules formalization in MATLAB, fuzzy modelling of Mandami type 4. Fuzzy modelling of Takagi-Sugeno type in MATLAB 5. Fuzzy controllers of Mandami and T-S types 6. Diagnostic fuzzy expert systems 7. Fuzzy expert systems in practice 8. Probalilistic shell expert systém FEL-EXPERT 9. Neural network synthesis in Neural ToolBoxu of MATLAB 10. Neural controller 11. Real genetic algorithm synthesis in MATLAB 12. Fuzzy controller optimization using genetic algorithm

Conditions for subject completion

Combined form (validity from: 2010/2011 Winter semester, validity until: 2013/2014 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Graded exercises evaluation Graded credit 100 (100) 51
        Laboratory works Laboratory work 60  45
        Written proof Other task type 40  6
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (B2649) Electrical Engineering (2612R041) Control and Information Systems P Czech Ostrava 3 Optional study plan
2019/2020 (B2649) Electrical Engineering (2612R041) Control and Information Systems K Czech Ostrava 3 Optional study plan
2019/2020 (B0714A150001) Control and Information Systems P Czech Ostrava 3 Choice-compulsory type B study plan
2019/2020 (B0714A150003) Computer Systems for the Industry of the 21st. Century P Czech Ostrava 3 Compulsory study plan
2019/2020 (B0714A150001) Control and Information Systems K Czech Ostrava 3 Choice-compulsory type B study plan
2018/2019 (B2649) Electrical Engineering (2612R041) Control and Information Systems P Czech Ostrava 3 Optional study plan
2018/2019 (B2649) Electrical Engineering (2612R041) Control and Information Systems K Czech Ostrava 3 Optional study plan
2017/2018 (B2649) Electrical Engineering (2612R041) Control and Information Systems P Czech Ostrava 3 Optional study plan
2017/2018 (B2649) Electrical Engineering (2612R041) Control and Information Systems K Czech Ostrava 3 Optional study plan
2016/2017 (B2649) Electrical Engineering (2612R041) Control and Information Systems P Czech Ostrava 3 Optional study plan
2016/2017 (B2649) Electrical Engineering (2612R041) Control and Information Systems K Czech Ostrava 3 Optional study plan
2015/2016 (B2649) Electrical Engineering (2612R041) Control and Information Systems P Czech Ostrava 3 Optional study plan
2015/2016 (B2649) Electrical Engineering (2612R041) Control and Information Systems K Czech Ostrava 3 Optional study plan
2014/2015 (B2649) Electrical Engineering (2612R041) Control and Information Systems P Czech Ostrava 3 Optional study plan
2014/2015 (B2649) Electrical Engineering (2601R004) Measurement and Control Engineering P Czech Ostrava 3 Optional study plan
2014/2015 (B2649) Electrical Engineering (2612R041) Control and Information Systems K Czech Ostrava 3 Optional study plan
2014/2015 (B2649) Electrical Engineering (2601R004) Measurement and Control Engineering K Czech Ostrava 3 Optional study plan
2013/2014 (B2649) Electrical Engineering (2601R004) Measurement and Control Engineering P Czech Ostrava 3 Optional study plan
2013/2014 (B2649) Electrical Engineering (2601R004) Measurement and Control Engineering K Czech Ostrava 3 Optional study plan
2012/2013 (B2649) Electrical Engineering (2601R004) Measurement and Control Engineering P Czech Ostrava 3 Optional study plan
2012/2013 (B2649) Electrical Engineering (2601R004) Measurement and Control Engineering K Czech Ostrava 3 Optional study plan
2011/2012 (B2649) Electrical Engineering (2601R004) Measurement and Control Engineering P Czech Ostrava 3 Optional study plan
2011/2012 (B2649) Electrical Engineering (2601R004) Measurement and Control Engineering K Czech Ostrava 3 Optional study plan
2010/2011 (B2649) Electrical Engineering (2601R004) Measurement and Control Engineering P Czech Ostrava 3 Optional study plan
2010/2011 (B2649) Electrical Engineering (2601R004) Measurement and Control Engineering K Czech Ostrava 3 Optional study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner