Open AccessОценка амплитуды внешнего периодического воздействия при помощи малой спайковой нейронной сети в радиофизическом эксперименте
Author(s) -
В.И. Пономаренко,
Д.Д. Кульминский,
А.В. Андреев,
М.Д. Прохоров
Publication year - 2021
Publication title -
pisʹma v žurnal tehničeskoj fiziki
Language(s) - English
Resource type - Journals
eISSN - 1726-7471
pISSN - 0320-0116
DOI - 10.21883/pjtf.2021.04.50636.18529
Subject(s) - forcing (mathematics) , amplitude , computer science , artificial neural network , control theory (sociology) , physics , mathematics , mathematical analysis , artificial intelligence , quantum mechanics , control (management)
A method is proposed that allows to estimate the amplitude of external periodic forcing using a small spiking neural network consisting of oscillators with neuron-like dynamics. The method is based on the dependence of the number of spikes generated by the network on the amplitude of external forcing. The method efficiency is shown in a radio engineering experiment using the example of a network consisting of FitzHugh–Nagumo generators.