• DocumentCode
    1913321
  • Title

    Sonar spectrum recognition chip designed by evolutionary algorithm

  • Author

    Yasunaga, Moritoshi ; Nakamura, Taro ; Yoshihara, Ikuo

  • Author_Institution
    Inst. of Inf. Sci. & Electron., Tsukuba Univ., Ibaraki, Japan
  • Volume
    5
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    3182
  • Abstract
    An evolutionary design methodology for sonar spectrum recognition chip is proposed and the prototype chip is developed. In the design, sonar spectrum data are transformed to truth-tables and the truth-tables are evolved to obtain generalization capability by using genetic algorithms. Digital circuits are designed by synthesizing the evolved truth-tables. Parallelism in the data can be embedded in the circuits directly by this direct hardware implementation technique of the sonar spectrum data. The circuit size of the developed chip was 4,134 gates, and this was small enough to be implemented onto a standard FPGA (field programmable gate array) chip. Operation speed of the chip was less than 1.0 micro-second per spectrum. Moreover the chip achieved the recognition accuracy of 91.7%, which was higher than those in the backpropagation and the k-NN algorithm
  • Keywords
    VLSI; digital circuits; field programmable gate arrays; genetic algorithms; logic design; neural chips; pattern recognition; direct hardware implementation technique; evolutionary algorithm; generalization capability; prototype chip; recognition accuracy; sonar spectrum recognition chip; truth-tables; Algorithm design and analysis; Circuit synthesis; Design methodology; Digital circuits; Evolutionary computation; Field programmable gate arrays; Genetic algorithms; Hardware; Prototypes; Sonar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1999. IJCNN '99. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-5529-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.1999.836163
  • Filename
    836163