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Fuzzy-Neural Networks in the Diagnosis of Motor-Car’s Current Supply Circuit

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Artificial Intelligence and Soft Computing - ICAISC 2004 (ICAISC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3070))

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Abstract

In this paper general diagnostic model of cars’ current supply circuit is presented. The set of defects with appropriate symptom signals is described. Binary diagnostic matrix is built. Fuzzy-neural models bank is presented. Some results of computer analysis of experimental research are described.

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References

  1. Korbicz, J., Kościelny, J.M., Kowalczuk, Z., Cholewa, W.: The process diagnostic. Models, methods of the artificial intelligence. Adaptations. WNT, Warszawa, Poland (2002)

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  2. Gad, S., Sloń, G., Yastrebov, A.: Computer diagnosis and identification of selected systems of electrical equipment of cars. In: Proc. of XIV International Conference On Systems Science, SYSTEMS SCIENCE XIV, Wroclaw, Poland, pp. 150–157 (2001)

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  3. Yastrebov, A., Gad, S., Slon, G.: Computer diagnosis of the electrical vehicle equipment (in Polish). In: Proc. of IX National Congress on Exploitation of Technical Equipment, Krynica Górska, Poland, pp. 203–214 (2001)

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  4. Yastrebov, A., Gad, S., Slon, G., Laskawski, M.: Computer analysis of electrical vehicle equipment diagnosing with artificial neural networks. In: Proc. of International Conference SICPRO 2003, Moscov, Russia, pp. 1331–1348 (2003)

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Author information

Authors and Affiliations

  1. Kielce University of Technology, Al. Tysiaclecia P. P. 7, 25-314, Kielce, POLAND

    Stanisław Gad, Mariusz Łaskawski, Grzegorz Słoń, Alexander Yastrebov & Andrzej Zawadzki

Authors
  1. Stanisław Gad
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  2. Mariusz Łaskawski
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  3. Grzegorz Słoń
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  4. Alexander Yastrebov
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  5. Andrzej Zawadzki
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. German Research Center of Artificial Intelligence (DFKI), Germany

    Jörg H. Siekmann

  3. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA

    Lotfi A. Zadeh

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© 2004 Springer-Verlag Berlin Heidelberg

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Gad, S., Łaskawski, M., Słoń, G., Yastrebov, A., Zawadzki, A. (2004). Fuzzy-Neural Networks in the Diagnosis of Motor-Car’s Current Supply Circuit. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_41

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  • DOI: https://doi.org/10.1007/978-3-540-24844-6_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22123-4

  • Online ISBN: 978-3-540-24844-6

  • eBook Packages: Springer Book Archive

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