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Neural Network Device for Reliability and Functional Analysis of Discrete Transport System

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Artificial Intelligence and Soft Computing – ICAISC 2008 (ICAISC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5097))

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Abstract

This paper describes an approach of combining Monte Carlo simulation and neural nets. The approach is applied to model transport systems, with the accurate but computationally expensive Monte Carlo simulation used to train a neural net. Once trained the neural net can efficiently provide functional analysis and reliability predictions. No restriction on the system structure and on any kind of distribution is the main advantage of the proposed approach. The paper presents exemplar decision problem solved by proposed approach.

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References

  1. Banks, J., Carson, J.S., Nelson, B.N.: Discrete-Event System Simulation, 2nd edn. Prentice Hall, Upper Saddle River (1996)

    Google Scholar 

  2. Barlow, R., Proschan, F.: Mathematical Theory of Reliability. Society for Industrial and Applied Mathematics, Philadelphia (1996)

    MATH  Google Scholar 

  3. Bischop, C.: Neural Networks for Pattern Recognition. Clarendon Press, Oxford (1996)

    Google Scholar 

  4. Caban, D., Walkowiak, T.: Computer Simulation of Discrete Transport System. XXX Winter School of Reliability, 93–103 (2002)

    Google Scholar 

  5. Fishman: Monte Carlo: Concepts, Algorithms, and Applications. Springer, New York (1996)

    Google Scholar 

  6. Jarnicki, J., Mazurkiewicz, J., Zamojski, W.: Model of Discrete Transport System. XXX Winter School of Reliability, 149–157 (2002)

    Google Scholar 

  7. Kaplon, K., Mazurkiewicz, J., Walkowiak, T.: Economic Analysis of Discrete Transport Systems. Risk Decision and Policy 8(3), 179–190 (2003)

    Google Scholar 

  8. Mazurkiewicz, J., Walkowiak, T.: Fuzzy Economic Analysis of Simulated Discrete Transport System. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds.) ICAISC 2004. LNCS (LNAI), vol. 3070, pp. 1161–1167. Springer, Heidelberg (2004)

    Google Scholar 

  9. Podofillini, L., Zio, E., Marella, M.: A multi-state Monte Carlo Simulation Model of a Railway Network System. In: Kolowrocki, K. (ed.) Advances in Safety and Reliability, European Safety and Reliability Conference - ESREL 2005, pp. 1567–1575. Taylor & Francis Group, London (2005)

    Google Scholar 

  10. Pozsgai, P., Bertsche, B.: Modeling and Simulation of the Operational Availability and Costs of Complex Systems - a Case Study. In: Kolowrocki, K. (ed.) Advances in Safety and Reliability, European Safety and Reliability Conference - ESREL 2005, pp. 1597–1605. Taylor & Francis Group, London (2005)

    Google Scholar 

  11. Sanso, B., Milot, L.: Performability of a Congested Urban-Transportation Network when Accident Information is Available. Transportation Science 33 (1999)

    Google Scholar 

  12. Walkowiak, T., Mazurkiewicz, J.: Fuzzy Approach to Economic Analysis of Dispatcher Driven Discrete Transport Systems. In: DepCoS-RELCOMEX 2006 International Conference, pp. 366–373. IEEE Press, Poland (2006)

    Google Scholar 

  13. Walkowiak, T., Mazurkiewicz, J.: Genetic Approach to Modeling of a Dispatcher in Discrete Transport Systems. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds.) ICAISC 2006. LNCS (LNAI), vol. 4029, pp. 479–488. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  14. Walkowiak, T., Mazurkiewicz, J.: Hybrid Approach to Reliability and Functional Analysis of Discrete Transport System. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2004. LNCS, vol. 3037, pp. 236–243. Springer, Heidelberg (2004)

    Google Scholar 

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Authors and Affiliations

  1. Institute of Computer Engineering, Control and Robotics, Wroclaw University of Technology, ul. Janiszewskiego 11/17, 50-372, Wroclaw, Poland

    Tomasz Walkowiak & Jacek Mazurkiewicz

Authors
  1. Tomasz Walkowiak
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  2. Jacek Mazurkiewicz
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Editor information

Leszek Rutkowski Ryszard Tadeusiewicz Lotfi A. Zadeh Jacek M. Zurada

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© 2008 Springer-Verlag Berlin Heidelberg

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Walkowiak, T., Mazurkiewicz, J. (2008). Neural Network Device for Reliability and Functional Analysis of Discrete Transport System. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2008. ICAISC 2008. Lecture Notes in Computer Science(), vol 5097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69731-2_18

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  • DOI: https://doi.org/10.1007/978-3-540-69731-2_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69572-1

  • Online ISBN: 978-3-540-69731-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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