INFORMATION PROCESSING METHOD IN PULSED NEURAL NETWORK Russian patent published in 2019 - IPC G06K9/62 G06N3/04 

Abstract RU 2709168 C1

FIELD: information technology.

SUBSTANCE: invention relates to oscillatory neural networks of pulse type and can be used for identification and classification of images. Method is a procedure for calculating a family of metrics, consisting of two parameters – high-order synchronization ratio (SHR) and synchronization efficiency value (η). At that, synchronization (of one or group of oscillators) is calculated relative to the master oscillator having constant oscillation frequency.

EFFECT: providing memorization and recognition of multiple images using one input layer of the network.

1 cl, 6 dwg

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RU 2 709 168 C1

Authors

Velichko Andrej Aleksandrovich

Boriskov Petr Petrovich

Belyaev Maksim Aleksandrovich

Putrolajnen Vadim Vyacheslavovich

Dates

2019-12-16Published

2019-01-09Filed