To effectively warn of railway risk accidents, a railway safety risk warning model based on neural network theory and the characteristics of railway safety risks was established. Taking the current situation of railway construction in a certain province as an example, the neural network model was trained and applied using expert evaluation data. By comparing with the measured values, it is found that the predicted results of the neural network model are close to the measured values.


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    Title :

    Back Propagation Neural Network Model for Railway Risk Warning


    Contributors:
    Duan, Baofu (author) / Yang, Yunqian (author) / Jing, Zhe (author) / Wei, Yuguan (author) / Chu, Anni (author) / Bu, Liankai (author)


    Publication date :

    2024-07-19


    Size :

    942187 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English






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