Aircraft climbing problem is a typical hard multi-constraint optimization problem. In real applications, it is not most important to find the best solution but to provide a feasible climbing schedule in an acceptable time. Scheduling aircraft climbing is a complex task encountered by most of the control towers. In this paper, we study the aircraft climbing problem in the multiple runway case. This paper proposes a method based on neural network which can effectively solve the aircraft climbing problem while satisfying the real-time need.


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    Titel :

    Aircraft Climb Trajectory Prediction Using Neural Network


    Beteiligte:

    Erschienen in:

    Applied Mechanics and Materials ; 373-375 ; 1247-1250


    Erscheinungsdatum :

    30.08.2013


    Format / Umfang :

    4 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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