Ant algorithms applied to electronic systems diagnosis

• Autorzy: Drabarek J. , Banaszak Z.
• Języki publikacji: EN

Abstrakty

EN

Main problems of using ant algorithms in diagnosis are presented in this article. A knowledge representation and a searching solution mechanism with help of ant algorithms were elaborated. Performed algorithm is shown by exemplary system diagnosing TV set.

Słowa kluczowe

EN

electronic systems; diagnosing TV set

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2006
• Tom: Vol. 2, no. 1
• Strony: 148--162
• Opis fizyczny: Bibliogr. 5 poz., fig., tab.

Twórcy

autor

Drabarek J.

• Departament of Electronics, Technical University of Koszalin, Śniadeckich 2, 75-453 Koszalin

autor

Banaszak Z.

• Department of Computer Science and Management, Technical University of Koszalin, Sniadeckich 2, 75-453 Koszalin

Bibliografia

• [1] COLORNI A., DORIGO M., MANIEZZO V.: An investigation of some properties of an “Ant Algorithm”, Proc. of the Parallel Problem Solving from Nature Conference, Belgium 1992, pp. 509-520.
• [2] DRABAREK J., WIRSKI R.: A Representation Language for A Neural Expert System Applied to Diagnostics, International Conference on Signals And Electronic Systems, October 2000, Ustroń, Poland.
• [3] DRABAREK J.: Search strategy for fault diagnosis in electronic system. XVIIIth KKTOiUE, Zakopane 1995.
• [4] DRABAREK J., WIRSKI R.: A Neural Expert System Concept Applied to Diagnostics,8th IEEE ICECS, September, Malta 2001.
• [5] DRABAREK J., WIRSKI R., MADEJ W.: Genetic Algorithms Applied to Hybrid Expert Systems, 9th IEEE ICECS, September Dubrownik, Croatia 2002.