To determine the main influence factors from numerous risk monitoring indicators about civil aviation safety, the online civil aviation risk non-linear model was developed by using the resource optimizing neural network method. The risk model inputs are risk monitoring indicators about civil aviation safety, and the output is a composite safety index of assessment of China's civil aviation industry safety. Numerical computation software was programmed based on this model. The agreement of the perception data of the computation software with the actual data of the composite safety index indicates that using the resource optimizing neural network method is correct. By using numerical computation software, the main risk monitoring indicators are obtained by the sensitivity analysis method based on the results of the civil aviation risk non-linear model, which provide quantification reference for reducing civil aviation safety risk.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Civil Aviation Risk Model Based on RON Neural Network


    Beteiligte:
    Wang, Yanyang (Autor:in) / Cao, Yihua (Autor:in) / Li, Jing (Autor:in)

    Kongress:

    The Twelfth COTA International Conference of Transportation Professionals ; 2012 ; Beijing, China


    Erschienen in:

    CICTP 2012 ; 1828-1836


    Erscheinungsdatum :

    2012-07-23




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Russia's civil aviation network

    Stockwell, R.E. | Engineering Index Backfile | 1958


    RISK DEFINITION IN CIVIL UNMANNED AVIATION

    Volodymyr Kharchenko / Denys Мatiychyk | DOAJ | 2016

    Freier Zugriff

    Civil Aviation

    Online Contents | 1997


    Civil aviation

    Phillips, Celia M. | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 1979


    Civil aviation

    Engineering Index Backfile | 1951