Stochastic model of oscillator neural network with external electromagnetic influence

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A stochastic model is proposed for studying the transfer of signals in an oscillator neural network with time delayed coupling. The model defines the direction of propagation of the signals in an stochastic manner. The signals are monitored until they leave the boundary under investigation.

Original languageEnglish
Title of host publicationTrans Black Sea Region Symposium on Applied Electromagnetism
Editors Anon
PublisherIEEE
Publication statusPublished - 1996
EventTrans Black Sea Region Symposium on Applied Electromagnetism - Metsovo, Greece
Duration: 17 Apr 199619 Apr 1996

Other

OtherTrans Black Sea Region Symposium on Applied Electromagnetism
CityMetsovo, Greece
Period17.4.9619.4.96

Fingerprint

Stochastic models
Neural networks

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Spitsyn, V. G. (1996). Stochastic model of oscillator neural network with external electromagnetic influence. In Anon (Ed.), Trans Black Sea Region Symposium on Applied Electromagnetism IEEE.

Stochastic model of oscillator neural network with external electromagnetic influence. / Spitsyn, V. G.

Trans Black Sea Region Symposium on Applied Electromagnetism. ed. / Anon. IEEE, 1996.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Spitsyn, VG 1996, Stochastic model of oscillator neural network with external electromagnetic influence. in Anon (ed.), Trans Black Sea Region Symposium on Applied Electromagnetism. IEEE, Trans Black Sea Region Symposium on Applied Electromagnetism, Metsovo, Greece, 17.4.96.
Spitsyn VG. Stochastic model of oscillator neural network with external electromagnetic influence. In Anon, editor, Trans Black Sea Region Symposium on Applied Electromagnetism. IEEE. 1996
Spitsyn, V. G. / Stochastic model of oscillator neural network with external electromagnetic influence. Trans Black Sea Region Symposium on Applied Electromagnetism. editor / Anon. IEEE, 1996.
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