• DocumentCode
    1745011
  • Title

    On the stability of bilayer associative memories

  • Author

    Sakaue, Takatoshi ; Matsuzaki, Manabu ; Miyata, Mnsnchika

  • Author_Institution
    Kanazawa Inst. of Technol., Ishikawa, Japan
  • Volume
    3
  • fYear
    2001
  • fDate
    6-9 May 2001
  • Firstpage
    589
  • Abstract
    A recurrent bilayer neural associative memory using mid-step type and ordinary sigmoid type neurons has less destroyed and spurious memories compared with a single layer memory using correlation learning. However, its stability has not been clarified. This paper shows that such a network is stable for some relaxation
  • Keywords
    content-addressable storage; recurrent neural nets; stability; bilayer associative memories; mid-step type neurons; recurrent neural associative memory; sigmoid type neurons; stability; Artificial intelligence; Associative memory; Learning systems; Linearity; Neurons; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-6685-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2001.921379
  • Filename
    921379
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1745011