• DocumentCode
    3448888
  • Title

    Study of BP neural network´s weights based on acoustic resonance spectroscopy

  • Author

    Du Huanchao ; Fang Jianqing ; Li Hongjun ; Ma Chao ; Cui Kaihua

  • Volume
    2
  • fYear
    2011
  • fDate
    20-22 Aug. 2011
  • Firstpage
    59
  • Lastpage
    62
  • Abstract
    This paper carries out a preliminary study of BP neural network´s weights, and uses the weights to analyze the acoustic resonance spectroscopy (ARS) of the structure´s state. The results indicate that the weights show promise in telling the sensitive frequencies when the structure´s state changed.
  • Keywords
    acoustic resonance; backpropagation; neural nets; spectroscopy; ARS; BP neural network; acoustic resonance spectroscopy; sensitive frequencies; Acoustics; Neurons; Programming; Resonant frequency; Spectroscopy; Time frequency analysis; Training; BP neural network; acoustic resonance spectroscopy; state identification; weight;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-8622-9
  • Type

    conf

  • DOI
    10.1109/ITAIC.2011.6030277
  • Filename
    6030277
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3448888