• DocumentCode
    1809516
  • Title

    Inductive sorting-out GMDH algorithms with polynomial complexity for active neurons of neural network

  • Author

    Ivakhnenko, A.G. ; Wunsch, D. ; Ivakhnenko, G.A.

  • Author_Institution
    Cybern. Center, Acad. of Sci., Kiev, Ukraine
  • Volume
    2
  • fYear
    1999
  • fDate
    36342
  • Firstpage
    1169
  • Abstract
    Neural networks with active neurons which self-organize their structure can use inductive sorting-out GMDH algorithms for their neurons. New threshold type GMDH algorithm with polynomial complexity is developed to decrease computing time in case of large input data sample
  • Keywords
    computational complexity; feedforward neural nets; identification; self-organising feature maps; sorting; GMDH algorithms; active neurons; group method of data handling; inductive sorting; multilayer neural network; polynomial complexity; self-organization; Clustering algorithms; Data handling; Data preprocessing; Input variables; Meteorology; Neural networks; Neurons; Pattern recognition; Polynomials; Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1999. IJCNN '99. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-5529-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.1999.831124
  • Filename
    831124
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1809516