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Promet - Traffic&Transportation journal

Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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Copyright (c) 2024 Slobodan Beroš, Saša Mladenović, Špiro Matošin

Neuro System Structure for Vehicle Recognition and Count in Floating Bridge Specific Conditions

Authors:Slobodan Beroš, Saša Mladenović, Špiro Matošin

Abstract

The paper presents the research of the sophisticated vehiclerecognition and count system based on the application of theneural network. The basic elements of neural network andadaptive logic network for object recognition are discussed. Theadaptive logic network solution ability based on simple digitalcircuits as crucial in real-time applications is pointed out. Thesimulation based on the use of reduced high level noise pictureand a tree 2. 7. software have shown excellent results. The consideredand simulated adaptive neural network based systemwith its good recognition and convergence is a useful real-timesolution for vehicle recognition and count in the floating bridgesevere conditions.

Keywords:

References

  1. I. Dekovic, Prepoznavanje oblika temeljeno na neizrazitoj

    logici i neuralnim strukturama. Magistarski rad, FESB,

    Sveuciliste u Splitu, 1994.

    W.S. McCulloch and W. Pitts, 'A logical calculus of the

    ideas immanent in neurons activity'. Bulletin of Mathematical

    Biophysics, Nr. 5, 1943, pp. 115-133.

    F. Rosenblatt, Principles of Neurodynamics. Washington

    DC: Spartan Books, 1962.

    B, Widrow, Generalization and information Storage in

    networks of adaline 'neurons' In Self-Organizing Systems

    pp. 435-461, W.DC Sparta 1962.

    S. Haykin, Neural Networks a comprehensive Foundation,

    IEEE Computer Society Press, New York 1994.

    J. Hertz, A. Krogh, R.g. Palmer, 'Introduction to the

    Theory of Neural Computation', Addison-Wesley,

    Reading, Mass., 1991.

    R.P. Lippmann, ''An introduction to Computing with

    Neural Nets', IEEE ASSP Magazine, April 1987, pp.

    A. K. Jain, J. Mao, 'Artificial Neural Networks: A Tutorial'',

    IEEE Computer Magazine, March 1996, pp.

    -44.

    W. W. Armstrong atree 2.7.1995.

    W. W. Armstrong, J. Gecsei,Adaption algorithms for Binary

    Tree Networks, IEEE Trans. on Systems, Man and

    Cybernetics, 9, 1979, pp. 276-285.

    ftp funic.funet.fi atree.Z., 1996.

    Dendronic Decisions Limited, 3624 - 108 Street, Edmond,

    Alberta, Canada T6J 1B4,

    W. Armstrong, J.-D. Liang, D. Lin, S. Reynolds,Erperiments

    Using Parsimonious Adaptive Logic, Tech. Rept.

    TR 90-30, Department of Computing Science, University

    of Alberta, Edmonton, Alberta, Canada, T6G 2H1,

    Dean A. Pomerlan, 'Neural Networks for Intelligent Vehicles',

    Neural Networks Applications, lEE Technology

    update series, 1996, p.p. 927-932.

    S. Matosin, Teorija pontonskog mosta u morskim

    uvjetima, Ceste i mostovi, Nr. 5-6, 1995, str. 135-156.

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