• DocumentCode
    1966864
  • Title

    All neural network sonar discrimination system

  • Author

    Cottle, D.W. ; Hamilton, D.J.

  • Author_Institution
    Raytheon Submarine Signal Div., Portsmouth, RI, USA
  • fYear
    1991
  • fDate
    15-17 Aug 1991
  • Firstpage
    13
  • Lastpage
    19
  • Abstract
    The authors present a summary of the status of an ongoing investigation into how effective various neural network paradigms are in military sonar system functions. Specifically, the authors investigate the potential use of neural network technology in the detection, feature extraction, feature optimization, and classification portions of a sonar signal discrimination system. Preliminary results given suggest that neural network techniques have potential as implementation solutions for at least the detection and classification functions
  • Keywords
    acoustic signal processing; optimisation; pattern recognition; signal detection; sonar; underwater sound; classification; detection; feature extraction; feature optimization; military sonar system functions; neural network paradigms; sonar discrimination system; Acoustic beams; Computer vision; Feature extraction; Filtering; Fuzzy logic; Marine technology; Neural networks; Signal processing; Sonar detection; Underwater vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks for Ocean Engineering, 1991., IEEE Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-0205-2
  • Type

    conf

  • DOI
    10.1109/ICNN.1991.163322
  • Filename
    163322