This study proposes a method, using adaptive neural network (ANN), to predict, estimate and evaluate performance variables without requiring any restrictive assumptions, taking case of a railway system. Also, by means of this method, it would be possible to compare actual performance data with estimated values and route their assignable causes in future periods. Energy consumption norm of vehicles in case of energy railway and real data of energy consumption in Iranian railway is considered.


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    Title :

    Estimating efficient value of controllable variable using an adaptive neural network algorithm: Case of a railway system


    Contributors:


    Publication date :

    2012


    Size :

    6 Seiten, 3 Bilder, 3 Tabellen, 15 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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