• DocumentCode
    2620429
  • Title

    Realization of Boolean functions by perceptron algorithm

  • Author

    Liu, Ruey-wen ; Chai, Zhi-Hong

  • Author_Institution
    Notre Dame Univ., IN, USA
  • fYear
    1990
  • fDate
    1-3 May 1990
  • Firstpage
    704
  • Abstract
    Summary form only given. A two-step design procedure is proposed so that any Boolean function can be realized by the reliable perceptron algorithm. The first step is the learning phase. In the second step, the outputs are simply connected to an OR-gate, a perceptron by itself
  • Keywords
    artificial intelligence; neural nets; Boolean functions realisation; OR-gate; any Boolean function; learning phase; perceptron algorithm; two-step design procedure; Algorithm design and analysis; Boolean functions; Convergence; Hypercubes; Intelligent networks; Multilayer perceptrons; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1990., IEEE International Symposium on
  • Conference_Location
    New Orleans, LA
  • Type

    conf

  • DOI
    10.1109/ISCAS.1990.112176
  • Filename
    112176
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2620429