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Application of fuzzy relational cognitive maps in intelligent modelling the technical systems

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Warianty tytułu
Konferencja
Computer Applications in Electrical Engineering 2012 (23-24.04.2012; Poznań, Polska)
Języki publikacji
EN
Abstrakty
EN
Certain approach to the modelling dynamic states in technical systems is presented in this paper. This approach lies in a replacing classic differential model with a model based on fuzzy relational cognitive map. Described method is illustrated by practical example of simple electrical RLC circuit. The method of the normalized reference data preparation was described. The process of building a cognitive map with concepts crucial from the modelling purposes point of view was presented also results of such a map teaching process were shown. In the end a partial comparison of simulation results of work of models: classic - based on the set of differential equations and proposed - based on fuzzy relational cognitive map was performed.
Słowa kluczowe
Rocznik
Tom
Strony
175--182
Opis fizyczny
Bibliogr. 9 poz., rys.
Twórcy
autor
  • Kielce University of Technology
autor
  • Kielce University of Technology
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] 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, John Wiley & Son Ltd, Chichester, England, 2008.
  • [4] 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.
  • [5] Silov V.B., Assuming strategical solutions in fuzzy environment. INPRO-RES, Moscow, Russia, 1995 (in Russian).
  • [6] 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.
  • [7] 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.
  • [8] 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).
  • [9] 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-808522c5-c52c-4fa1-9853-f480f9293a0b
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