Article or book title, author's surname, DOI

Neural network application in leaky cable intrusion detection sensors

А.E. Dukhan1, Е.I. Dukhan2, S.V. Voevodin3

research article Pages: 8-12

Abstract

In this paper, neural network application is considered with reference to a resolver design in leaky cable intrusion detection sensors with frequency modulated probing signal. It is shown that «Bidirectorial Associative Memory» neural network provides determination of the intrusion point longitudinal coordinate accurate within 2 meters.

How to cite

Духан А.Е., Духан Е.И., Воеводин С.В. Применение нейросетей типа двунаправленная ассоциативная память в средствах обнаружения на основе линии вытекающей волны // Радиотехника. 2016. № 2. С. 8–12.

References

 

  1. Voevodin S.V., Dukhan E.I. Analiz signalov ot narushitelja pri chastotno-modulirovannom zondirujushhem izluchenii v sredstvakh obnaruzhenija na osnove linijj vytekajushhejj volny // Radiotekhnika: Territorialnye raspredelennye sistemy okhrany. 2011. № 9.
  2. Dvojjris L.I., Smirnov A.A. Primenenie paketa Mathcad pri reshenii prikladnykh zadach: Ucheb. posobie. V 2‑kh ch. Kaliningrad: Kaliningradskijj pogranichnyjj institut. 2003.
  3. Osovskijj S. Nejjronnye seti dlja obrabotki informacii / Per. s polsk. M.: Finansy i statistika. 2004.
  4. Vaseghi, Saeed V. Advanced digital signal processing and noise reduction. SaeedVaseghi. Ed. 4th. 2009.
  5. Voevodin S.V., Dukhan E.I. Modelirovanie signalov ot dvizhushhejjsja celi v dvukhkabelnykh SO LVV // Materialy VIII Vseros. nauchno-praktich. konf. «Sovremennye okhrannye tekhnologii i sredstva obespechenija kompleksnojj bezopasnosti obektov» (Penzenskaja obl., g. Zarechnyjj). 2010.

 

Full text, PDF 350 ₽