• DocumentCode
    3393108
  • Title

    Analysis and study of perceptron to solve XOR problem

  • Author

    Yanling, Zhao ; Bimin, Deng ; Zhanrong, Wang

  • Author_Institution
    Southwest Jiaotong Univ., Chengdu, China
  • fYear
    2002
  • fDate
    6-7 Nov. 2002
  • Firstpage
    168
  • Lastpage
    173
  • Abstract
    This paper tries to explain the network structures and methods of single-layer perceptron and multi-layer perceptron. It also analyses the linear division and un-division problems in logical operation performed by single-layer perceptron. XOR is linear un-division operation, which cannot be treated by single-layer perceptron. With the analysis, several solutions are proposed in the paper to solve the problems of XOR. Single-layer perceptron can be improved by multi-layer perceptron, functional perceptron or quadratic function. These solutions are designed and analyzed.
  • Keywords
    Boolean functions; multilayer perceptrons; neural net architecture; perceptrons; Boolean logic; XOR problem solving; division; functional perceptron; logical operation; multilayer perceptron; quadratic function; single-layer perceptron; Artificial neural networks; Biological neural networks; Electronic mail; Feedforward neural networks; Humans; Linearity; Multilayer perceptrons; Neural networks; Neurons; Performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomous Decentralized System, 2002. The 2nd International Workshop on
  • Print_ISBN
    0-7803-7624-2
  • Type

    conf

  • DOI
    10.1109/IWADS.2002.1194667
  • Filename
    1194667