• DocumentCode
    274122
  • Title

    Self-organization based on the second maximum entropy principle

  • Author

    Grabec, I.

  • Author_Institution
    Edvard Kardelj Univ., Ljubljana, Yugoslavia
  • fYear
    1989
  • fDate
    16-18 Oct 1989
  • Firstpage
    12
  • Lastpage
    16
  • Abstract
    The article formulates an optimal mapping from a continuous onto a discrete random variable by introducing the second maximum entropy principle, complementary to the Gibbsian one. The mapping corresponds to the self-organization of a community of formal neurons. The derived properties of the interaction between neurons are similar to those in biological neural networks
  • Keywords
    entropy; neural nets; optimisation; random processes; self-adjusting systems; maxent principle; optimal mapping; random variable; second maximum entropy principle; self-organization;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Artificial Neural Networks, 1989., First IEE International Conference on (Conf. Publ. No. 313)
  • Conference_Location
    London
  • Type

    conf

  • Filename
    51921
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=274122