Artificial Intelligence and Expert Systems in Transport
The course is not on the list Without time-table
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
14UES | ZK | 2 | 2P+0C | English |
- Garant předmětu:
- Lecturer:
- Tutor:
- Supervisor:
- Department of Applied Informatics in Transportation
- Synopsis:
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Introduction to artificial intelligence, work in unified state space and with related techniques.
- Requirements:
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Basic knowledge of mathematical tools and probability theory
-Basic level Knowledge of transportation engineering
- Syllabus of lectures:
- Syllabus of tutorials:
- Study Objective:
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To introduce students to methods of artificial intelligence with respect to transportation applications. Praktical training in related techniques.
- Study materials:
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Jang , J.-S. R., C.-T. Sun, and E. Mizutani. Neuro-Fuzzy and Soft Computing. Prentice Hall:1997
-Teodorovic, D. & Vukadinovic, K., Traffic Control and Transport Planning: A Fuzzy Sets and Neural Networks Approach, Kluwer Academic Publishers, Boston/ Dordrecht/London,
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans:
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