The present invention relates to a method, a computer program containing instructions and an apparatus for training a neural network, and to a neural network trained using a method according to the invention. The invention additionally relates to a method, a computer program containing instructions and an apparatus for processing input variables, and to a motor vehicle that uses such a method or such an apparatus. Provided in a first step (10) are components that represent typical input variables for an application of the neural network. The neural network is then trained using at least the provided components (11). Additionally, feature distributions for the components can be determined (12) and parameters for conclusions can be learned (13).


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    Title :

    KOMPONENTENBASIERTE VERARBEITUNG VON EINGANGSGRÖSSEN


    Additional title:

    COMPONENT-BASED PROCESSING OF INPUT VARIABLES
    TRAITEMENT DE GRANDEURS D'ENTRÉE FONDÉ SUR DES COMPOSANTS


    Contributors:

    Publication date :

    2022-05-25


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    German


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion



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