Identyfikatory
Warianty tytułu
Konferencja
Computer Applications in Electrical Engineering 2012 (23-24.04.2012; Poznań, Polska)
Języki publikacji
Abstrakty
In this work, a certain approach to the modeling dynamic states in technical systems is presented. This approach consists in a replacing the classic differential model with a model based on relational fuzzy cognitive map. Described method is illustrated on a practical example of a simple electrical RLC circuit. The method of preparation of the normalized reference data was described. The process of building a relational fuzzy cognitive map with concepts crucial from the modeling purpose point of view is presented; also the results of such a map learning process are shown. At the end a partial comparison of simulation results of work of models: classic - based on the set of differential equations and proposed - based on relational fuzzy cognitive map is performed.
Słowa kluczowe
Rocznik
Tom
Strony
442--452
Opis fizyczny
Bibliogr. 10 poz., rys.
Twórcy
autor
- Kielce University of Technology 25-314 Kielce, al. Tysiąclecia P. P. 7
autor
- Kielce University of Technology 25-314 Kielce, al. Tysiąclecia P. P. 7
Bibliografia
- [1] Borisov, V.V., Kruglov, V.V., Fedulov, A.C., Fuzzy Models and Networks. Publishing house ”Telekom”, Moscow, Russia, 2004 (in Russian).
- [2] Kosko, B., Fuzzy cognitive maps. In: Int. Journal of Man-Machine Studies, Vol. 24. pp. 65-75, 1986.
- [3] Łachwa, A.: Fuzzy world of sets, numbers, relations, facts, rules and decisions. Akademicka Oficyna Wydawnicza EXIT, Warsaw, Poland, 2001 (in Polish).
- [4] Papageorgiou, E.I., Stylios, C.D., Fuzzy Cognitive Maps. In: Pedrycz W., Skowron A., Kreinovich V.: In: Pedrycz W., Skowron A., Kreinovich V. (eds.), Handbook of Granular Computing, pp. 755-774, Publication Atrium, JohnWiley & Son Ltd, Chichester, England, 2008.
- [5] Pedrycz, W., Fuzzy Sets as a User-Centric Processing of Granular Computing. In: Pedrycz W., Skowron A., Kreinovich V. (eds.), Handbook of Granular Computing, pp. 97-140, Publication Atrium, John Wiley & Son Ltd, Chichester, England, 2008.
- [6] Silov, V.B.: Assuming strategical solutions in fuzzy environment. INPRO-RES, Moscow, Russia, 1995 (in Russian).
- [7] Słon, G., Yastrebov A.: Optimization and Adaptation of Dynamic Models of Fuzzy Relational Cognitive Maps. In: Kuznetsov S.O. et al. (eds.): RSFDGrC 2011, Lecture Notes in Artificial Intelligence 6743, pp. 95-102, Springer-Verlag, Berlin, Heidelberg, 2011.
- [8] Styblinski, M.A., Meyer, B.D.: Fuzzy cognitive maps signal flow graphs and qualitative circuit analysis. In: Proc. of the 2nd IEEE International Conference on Neural Network (ICNN) 1987, pp. 549-556, San Diego, California, USA, 1988.
- [9] Yastrebov, A., Gad, S., Słoń, G., Fuzzy cognitive maps in decisional monitoring of technical objects. In: Biuletyn Wojskowej Akademii Technicznej, Vol. LIX, No. 4/2010, pp. 209-219, Warsaw, Poland, 2010 (in Polish).
- [10] Yastrebov, A., Słoń, G.: Optimization of models of fuzzy relational cognitive maps. In: Jastriebow A., Raczynska M. (eds.) Computers in scientific and educational activity. Institute for Sustainable Technologies - National Research Institute, pp. 60-71, Radom, Poland, 2011.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0eb357d5-bc29-49a7-b5ba-a549a4a11fd1