• DocumentCode
    442164
  • Title

    New universal logic operation models and neurons on generalized interval

  • Author

    Chen, Zhi-Cheng ; He, Hua-Can ; Mao, Ming-Yi ; Yang, Wei-Kang

  • Author_Institution
    Res. Inst. of Inf. Technol., Tsinghua Univ., Beijing, China
  • Volume
    8
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    4789
  • Abstract
    We call any interval [a,b] generalized interval. In the before work, the operation models of universal logic and neurons were limited in interval [0,1]. Authors mainly studied the universal logic operation models and neurons based on generalized interval [a,b]. Using the NTS norms theories, this paper established the universal logic operation models on generalized interval [a,b]. And the paper gave a new uniform neuron model of several universal logic operators on generalized interval [a,b]. It made the reasoning of universal logic neuron more flexible. It proved that the operation models and neurons were sound. The work offered important theories and models for universal logic in correlation reasoning of neural systems. It is a new way for neuron reasoning from the points of generalized NTS norms and generalized interval.
  • Keywords
    fuzzy logic; inference mechanisms; neural nets; NTS norms theories; correlation reasoning; generalized interval; neural systems; neuron reasoning; universal logic operation models; Boundary conditions; Cybernetics; Fractals; Fuzzy logic; Helium; Information technology; Logic design; Machine learning; Mathematical model; Neurons; Generalized interval; Generalized neuron; Logic operator; Universal logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527785
  • Filename
    1527785