• DocumentCode
    2244463
  • Title

    A single layer architecture to FPGA implementation of BP artificial neural network

  • Author

    Shoushan, Liu ; Yan, Chen ; Wenshang, Xu ; Tongjun, Zhang

  • Author_Institution
    Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
  • Volume
    2
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    258
  • Lastpage
    264
  • Abstract
    Based on discussions of the hardware implementations of artificial neural network (ANN), the single layer architecture to FPGA of the back propagation artificial neural network (BP ANN) is proposed. To construct the single layer architecture, the computing blocks of BP ANN are presented. The construction of the single layer architecture is described. According the experiments of the implementation in FPGA and the defects classification in ultrasonic non-destruction detection of carbon fibre reinforced plastic (CFRP), the single layer architecture of BP ANN performs well and can serve the applications.
  • Keywords
    backpropagation; carbon fibre reinforced plastics; field programmable gate arrays; FPGA implementation; back propagation artificial neural network; carbon fibre reinforced plastic; field programmable gate array; single layer architecture; ultrasonic nondestruction detection; Artificial neural networks; Authentication; Communication system security; Databases; Field programmable gate arrays; Information security; Protocols; RFID tags; Radiofrequency identification; Robotics and automation; FPGA; architecture; hardware implementation; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
  • Conference_Location
    Wuhan
  • ISSN
    1948-3414
  • Print_ISBN
    978-1-4244-5192-0
  • Electronic_ISBN
    1948-3414
  • Type

    conf

  • DOI
    10.1109/CAR.2010.5456553
  • Filename
    5456553