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A neural network approach to the validation of simulation models

Published: 03 December 2006 Publication History

Abstract

We tackle the problem of validating simulation models using neural networks. We propose a neural-network-based method that first learns key properties of the behaviour of alternative simulation models, and then classifies real system behaviour as coming from one of the models. We investigate the use of multi-layer perceptron and radial basis function networks, both of which are popular pattern classification techniques. By a computational experiment, we show that our method successfully allows to distinguish valid from invalid models for a multiserver queueing system.

References

[1]
Balci, O. 1998. Verification, validation and testing. J. Banks, ed. Handbook of Simulation. Wiley, New York. 335--393.
[2]
Bishop, C. M. 1995. Neural Networks for Pattern Recognition. Oxford University Press, Oxford.
[3]
Devijver, P. A., and J. Kittler. 1987. Pattern Recognition: Theory and Applications. Springer Verlag, Berlin.
[4]
Kasabov, N. K. 1996. Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering. MIT Press, Cambridge, MA.
[5]
Leemans, H. 1998. The two-class two-server queueing model with non-preemptive heterogeneous priority structures. Department of Applied Economics. PhD thesis, Katholieke Universiteit Leuven, Belgium.
[6]
Nauck, D., F. Klawonn, and R. Kruse. 1997. Neuro-Fuzzy Systems. Wiley, Chichester.
[7]
Wasserman, P. D. 1993. Advanced Methods in Neural Computing. Van Nostrand Reinhold, New York.

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  • (2007)Integration of Ann MLP and computer simulation for intelligent design of queuing systemsProceedings of the 2007 Summer Computer Simulation Conference10.5555/1357910.1357982(453-459)Online publication date: 16-Jul-2007
  1. A neural network approach to the validation of simulation models

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      Published In

      cover image ACM Conferences
      WSC '06: Proceedings of the 38th conference on Winter simulation
      December 2006
      2429 pages
      ISBN:1424405017

      Sponsors

      • IIE: Institute of Industrial Engineers
      • ASA: American Statistical Association
      • IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
      • IEEE-CS\DATC: The IEEE Computer Society
      • SIGSIM: ACM Special Interest Group on Simulation and Modeling
      • NIST: National Institute of Standards and Technology
      • (SCS): The Society for Modeling and Simulation International
      • INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation

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      Winter Simulation Conference

      Publication History

      Published: 03 December 2006

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      WSC06
      Sponsor:
      • IIE
      • ASA
      • IEICE ESS
      • IEEE-CS\DATC
      • SIGSIM
      • NIST
      • (SCS)
      • INFORMS-CS
      WSC06: Winter Simulation Conference 2006
      December 3 - 6, 2006
      California, Monterey

      Acceptance Rates

      WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;
      Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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      • (2007)Integration of Ann MLP and computer simulation for intelligent design of queuing systemsProceedings of the 2007 Summer Computer Simulation Conference10.5555/1357910.1357982(453-459)Online publication date: 16-Jul-2007

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