A method for operating an artificial neural network (ANN), which processes inputs in a sequence of layers, to give outputs. In the method: within the ANN, at least one iterative block comprising one or more layers is defined and is to be executed multiple times; a number J of iterations is defined; an input of the iterative block is mapped onto an output by the iterative block; the output is supplied to the iterative block again as an input and is mapped onto a new output; once the iterative block has been executed J times, the output delivered by the iterative block is supplied, as an input, to the layer of the ANN succeeding the iterative block or is provided as the output of the ANN. A portion of the parameters that characterize the behavior of the layers in the iterative block are changed between the iterations.


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    Title :

    RAPID, ENERGY-SAVING, ITERATIVE OPERATION OF ARTIFICIAL NEURAL NETWORKS


    Contributors:

    Publication date :

    2022-10-13


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    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 / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL



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