Course details
Intelligent Systems
ISD Acad. year 2003/2004 Winter semester
Tolerance of imprecision and uncertainty as main attribute of ISY. Intelligent systems based on combinations of various theories - simulation, graphics, neural networks, fuzzy and rough sets and genetic algorithms: expert systems, intelligent information systems, machine translation systems, intelligent sensor systems, intelligent control systems, intelligent robotic systems.
Guarantor
Language of instruction
Completion
Time span
- 39 hrs lectures
Department
Subject specific learning outcomes and competences
Students acquire knowledge of principles of intelligent systems and so they will be able to design these systems to solving of various practical problems.
Learning objectives
To give the students the knowledge of intelligent systems design (control, production, etc.) based on combinations of various theories: simulation, graphics, neural networks, fuzzy and rough sets and genetic algorithms.
Study literature
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- Rutkowski, L.: Flexible Neuro-Fuzzy Systems, Kluwer Academic Publishers, 2004, ISBN: 1-4020-8042-5
- Mitchell, H. B.: Multi-Sensor Data Fusion, Springer-Verlag Berlin Heidelberg 2007, ISBN 978-3-540-71463-7
- Munakata,T.: Fundamentals of the New Artificial Intelligence, Springer, 2008, ISBN 978-1-84628-838-8
- Shi, Z.: Advanced Artificial Intelligence, World Scientific Publishing Co. Pte. Ltd., 2011, ISBN-13 978-981-4291-34-7
- Iba, H., Noman, N.: New Frontier in Evolutionary Algorithms, Imperial College Press, 2012, ISBN-13 978-1-84816-681-3
Fundamental literature
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- Kecman, V.: Learning and Soft Computing, The MIT Press, 2001, ISBN 0-262-11255-8
- Negnevitsky M.: Artificial Intelligence - A Guide to Intelligent systems, Pearson Education Limited 2002, ISBN 0201-71159-1
- Zaknih, A.: Neural Networks for Intelligent Signal Processing, World Scientific Publishing Co. Pte. Ltd., 2003, ISBN 981-238-305-0
- Rutkowski, L.: Flexible Neuro-Fuzzy Systems, Kluwer Academic Publishers, 2004, ISBN: 1-4020-8042-5
- Liu, P., Li, H.: Fuzzy Neural Network Theory and Application, World Scientific Publishing Co. Pte. Ltd., 2004, ISBN 981-538-786-2
- Mitchell, H. B.: Multi-Sensor Data Fusion, Springer-Verlag Berlin Heidelberg 2007, ISBN 978-3-540-71463-7
- Munakata,T.: Fundamentals of the New Artificial Intelligence, Springer, 2008, ISBN 978-1-84628-838-8
- Shi, Z.: Advanced Artificial Intelligence, World Scientific Publishing Co. Pte. Ltd., 2011, ISBN-13 978-981-4291-34-7
- Iba, H., Noman, N.: New Frontier in Evolutionary Algorithms, Imperial College Press, 2012, ISBN-13 978-1-84816-681-3