Logo ČVUT
CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2019/2020

Risks and Expert Systems in Water Management

Login to KOS for course enrollment Display time-table
Code Completion Credits Range Language
D42RESV_EN ZK 2P
Lecturer:
Michal Toman (guarantor)
Tutor:
Supervisor:
Department of Hydraulic Structures
Synopsis:

The subject represents an introduction overview of the sources of failures in hydraulic systems, the definitions of the risk categorization and representations of risk and the risks of non-compliance with the purpose of water works or system.

Followed by quantifying the risks and possibilities of the application risk analysis of vice-criteria evaluation of task and problems.

An essential part of the subject of the introduction of knowledge-based and expert systems (basic concepts and principles), understanding the principles of work with knowledge and familiarization with the basic activities and practices from the field of knowledge engineering. In the context of understanding the technology processing expertise, students will be also acquainted with the processes of discovery, capture, creation, classification and representation of expert knowledge. Knowledge of learning theory will be applied to the pilot examples of knowledge-based methods in water management practice.

Requirements:
Syllabus of lectures:
Syllabus of tutorials:
Study Objective:
Study materials:

Povinná literatura:

•Toman, M. - Toman, J. - Mikulecký, P. - Olševičová, K. - Ponce, D.: Intelligent dispatching decision-making systems in water management. Czech technique - CTU Publishing House, 2009, 254 s., ISBN 978-80-01-04452-0

•Toman, M. - Mikulecký, P. - Olševičová, K. - Ponce, D.: Knowledge technologies in water management. CTU Publishing House, 2004, 205 s., ISBN 80-01-03049-0

•Nacházel K., Zezulák J.: The use of artificial intelligence methods in water management. Prague: Academia, 2004. 318 s. ISBN 80-200-0229-4

•Kelemen, J. – Kubík, A. – Lenharčík, I. – Mikulecký, P.: Creation of expert systems in the CLIPS environment. GRADA Publ., Prague, 1999, ISBN 80-7169-501-7

•Berka, P.: Expert systems. EU Prague, 1998, ISBN 80-7079-873-4

•Votruba L., Heřman J.: The reliability of water management works. Prague: Czech technical matrix, 1993. 496 s. ISBN 80-209-0251-1.

•specialised periodicals

•research reports

Doporučená literatura:

•Hartford D., Beacher G.: Risk and uncertainty in dam safety. London: Thomas Telford Publishing, 2004.391 s. ISBN 0-7277-3270-6

•Mikulecký, P. - Ponce, D. - Toman, M.: A knowledge-based decision support system for river basin management. In: River Basin Management II. Southampton, WIT PRESS 2003, pp. 177-185, ISBN 1-85312-966-6

•Mikulecký, P. - Ponce, D. - Toman, M.: A knowledge-based solution for river water resources management. In: Water Resources Management II. Southampton, WIT PRESS 2003, pp. 451-458, ISBN 1-85312-967-4

•Nacházel, K. - Toman, M.: The neural netvorks and their applicatopns to optimize energy production of hydropower plants system. In: Applications of Artificial Inteligence in Engineering. Southampton-Boston: Computational Mechanics Publications, 1997

•Nacházel, K. - Toman, M.: The genetic algorithm and its application to optimize energy utilization of a water reservoir. In: Applications of Artificial Intelligence in Engineering X, Computational Mechanics Publications, Southampton - Boston, 1995, s. 253-259

Software:

•Toman, M. - Horský, M.: ZNALOP – Riverbasin Knowledge. [Software that meets the conditions of the RIV (previously Authorised)]

•Toman, M. - Horský, M.: AVASciS - Knowledge System Water. [Software that meets the conditions of the RIV (previously Authorised)]

•CLIPS system: A Tool for Building Expert Systems: http://clipsrules.sourceforge.net/

Note:
Time-table for winter semester 2019/2020:
Time-table is not available yet
Time-table for summer semester 2019/2020:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2020-04-10
For updated information see http://bilakniha.cvut.cz/en/predmet6096106.html