IMAGE CLASSIFICATION METHOD USING SPIKE NEURAL NETWORK WITH SYNAPTIC PLASTICITY AND MACHINE LEARNING ALGORITHM Russian patent published in 2024 - IPC G06N3/02 G06T1/40 G06V10/40 

Abstract RU 2830294 C1

FIELD: artificial intelligence; digital image processing.

SUBSTANCE: technical result is achieved due to: obtaining images using a photofixation device or image accumulation in the form of a database with an image class marking, transforming images using a spike neural network with synaptic plasticity into a universal new feature space, training and classification of a new feature space of images using a machine learning algorithm on a computing device and outputting the result on the display device. Invention provides separation of image classification process into stages, having the possibility of being implemented in the form of a microelectronic chip to form a new feature space and a computing device for image classification using different versions of the latter (microcomputer, personal computer, server).

EFFECT: automation of image classification due to formation of feature space using neuromorphic algorithm.

2 cl, 8 dwg

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RU 2 830 294 C1

Authors

Stasenko Sergej Viktorovich

Lebedev Andrej Aleksandrovich

Dates

2024-11-18Published

2023-12-02Filed