SYSTEM AND METHOD FOR ARTIFICIAL NEURAL NETWORK INVARIANT TO TRANSFERRING Russian patent published in 2018 - IPC G06N3/63 

Abstract RU 2656990 C1

FIELD: information technology.

SUBSTANCE: group of inventions refers to artificial neural networks and can be used to process and recognize signals, such as images, video or sound. Method comprises the steps of: inputting data to the current layer of the trained neural network, processing the input data to obtain output data, and if the number of the current layer of the neural network is less than N, go to the next layer of the neural network, if the number is N, extract the output data. Processing step comprises applying an operation of transferring the input data in one of the predetermined directions, calculating a linear weighted sum of the input data, and adding the shifted input data and the weighted sum calculation result to obtain the output data, the processing being applied to each predetermined direction, or applying an operation of transferring the input data in one or more predetermined directions to obtain shifted input data in each of the predetermined directions, calculating a linear weighted sum of the shifted input data in each of the predetermined directions, and summing the input data and the weighted sum calculation results for each of the predetermined directions to obtain the output data.

EFFECT: reducing the consumption of computing resources while maintaining a high degree of recognition accuracy.

10 cl, 14 dwg

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RU 2 656 990 C1

Authors

Paramonov Vladimir Petrovich

Lavrukhin Vitaly Sergeevich

Cherniavskii Aleksei Stanislavovich

Dates

2018-06-07Published

2017-09-11Filed