A neural network including a set of input nodes may consume a respective stream of time-series data recorded during a flight of a flying aircraft, each stream of time-series data representing measurements of a respective flight parameter captured by a sensor at various time-steps of the flight. A training circuit set may train the neural network to predict a future measurement of the flight parameter. Training the neural network may include comparing a predictive value from the neural network to a measured value of a flight parameter and modifying structural components of the neural network to bring the predictive value closer to the measured value. A parameter acquisition circuit set may acquire time-series data of a flight parameter. A prediction circuit set may apply the time-series data to the trained neural network to predict the next measurement for the flight parameter in the time-series data.


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    Titel :

    FLIGHT PARAMETER PREDICTION USING NEURAL NETWORKS


    Beteiligte:
    HIGGINS JIM (Autor:in) / CLACHAR SOPHINE (Autor:in) / DESELL TRAVIS (Autor:in)

    Erscheinungsdatum :

    2018-12-06


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G01P MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION OR SHOCK , Messen der Linear- oder Winkelgeschwindigkeit, der Beschleunigung, der Verzögerung oder des Stoßes / B64D Ausrüstung für Flugzeuge , EQUIPMENT FOR FITTING IN OR TO AIRCRAFT / G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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