Through detailed analysis of train operation control procedures for high-speed railway, in view of the present condition of fuzzy neural network (FNN) in train operation control, a new model of train operation adjustment on the FNN is developed. Five levels of fuzzy neural network were built, and its input and output were designed, the weighing and parameters were revised to get different membership function, then corresponding fuzzy rule and could execute fusion decision could be got in the new method. Furthermore, the simulation perception processing of train operation adjustment was completed using Matlab, the mean square error between actual output and experiments output got simulation results that show the validity of train operation control procedure of high-speed railway based on FNN.


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    Title :

    Intelligent Train Dispatching for High-Speed Railway Based on Fuzzy Neural Network


    Contributors:
    Wang, Yao (author)

    Conference:

    Fourth International Conference on Transportation Engineering ; 2013 ; Chengdu, China


    Published in:

    ICTE 2013 ; 1341-1346


    Publication date :

    2013-10-09




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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