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Neural network application in leaky cable intrusion detection sensors

Keywords:

А.E. Dukhan Е.I. Dukhan S.V. Voevodin


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.
References:

 

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  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.

 

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