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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2002  >  2(2): 12-15
CHA Xu-dong, WANG Bing-gang. Backcalculation of pavement layer moduli based on artificial neural networks[J]. Journal of Traffic and Transportation Engineering, 2002, 2(2): 12-15.
Citation: CHA Xu-dong, WANG Bing-gang. Backcalculation of pavement layer moduli based on artificial neural networks[J]. Journal of Traffic and Transportation Engineering, 2002, 2(2): 12-15.
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Backcalculation of pavement layer moduli based on artificial neural networks

  • 1.

    Department of Highway and Traffic Engineering, Changsha Communications University, Changsha 410076, China

  • 2.

    School of Highway, Chang′an University, Xi′an 710064, China

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  • Author Bio:

    ZHA Xu-dong (1970-), male, Ph. D., an associate professor of Changsha Communication University, engaged in research of pavement engineering

  • Received Date: 2002-02-19
  • Publish Date: 2002-06-25
    Abstract
  • The backcalculation of pavement layer moduli for layered system is researched with JILS FWD according to the model of 3 layered BP neural network and the theory of elastic layered system.The backcalculating ability of accurate network and noise network is compared through the backcalculation of theoretical and measured deflection basins. The key techniques are presented for the backcalculation of moduli with artificial neural networks.The comparisions of the noise network to the common backcalculation programs show that the backcalculation results for the method of neural networks are good in accuracy and reliability.

     

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    • References(6)
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    Zha Xudong, Zhang Qisen. Study on backcalculation for pavement moduli using genetic algorithm[A]. Proceedings of the the Third International Conference on Road & Airfield Pavement[C]. Beijing: 1998.
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    Meier R W, Alexander D R, Freeman R B. Using atrificial neural networks as a forward approach to backcalculation[J]. Transportation Research Record 1570, TRB, National Research Council, Washington, D.C., 1997.
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