• DocumentCode
    2286797
  • Title

    Improvement of the method for uncoupled binary input-output CNN template decomposition

  • Author

    Kék, László

  • Author_Institution
    Analogical & Neural Comput. Lab., Hungarian Acad. of Sci., Budapest, Hungary
  • fYear
    2002
  • fDate
    22-24 Jul 2002
  • Firstpage
    459
  • Lastpage
    466
  • Abstract
    This paper proposes an improved method for systematic decomposition of Boolean operators into a sequence of simpler ones. The improvement has two main components: (i) a sufficient condition for decreasing the number of possible child-templates during decomposition; (ii) pointing out the template element, the elimination of which results in the possibly maximum increment of the robustness value of the template. Examples are presented to demonstrate the effectiveness of the proposed method, whose advantages and limitations are also discussed.
  • Keywords
    cellular neural nets; neural chips; child templates; robustness value; systematic Boolean operator decomposition; uncoupled binary input-output cellular neural net/nonlinear template decomposition; Cellular networks; Cellular neural networks; Design methodology; Fault tolerance; Laboratories; Logic functions; Robustness; Software libraries; Sufficient conditions; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on
  • Print_ISBN
    981-238-121-X
  • Type

    conf

  • DOI
    10.1109/CNNA.2002.1035084
  • Filename
    1035084