In a method for generating matrix data for a convolutional neural network that performs a convolution operation based on the matrix data in which vehicle information is arranged as an matrix element, the matrix data is composed of predetermined time-series data in which each row changes continuously in terms of time in an arrangement direction of each column, the time-series data is composed of first data of which degree of influence on the convolution operation is high and second data of which degree of influence is lower than the first data, the convolution operation is performed using a kernel that partitions the matrix data into the rows and columns corresponding to a predetermined coefficient, and at least one row of the first data is arranged for each set of rows corresponding to the coefficient.


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    Title :

    METHOD FOR GENERATING MATRIX DATA FOR CONVOLUTIONAL NEURAL NETWORK AND LEARNING SYSTEM USING CONVOLUTIONAL NEURAL NETWORK


    Contributors:

    Publication date :

    2024-02-29


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen




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