• DocumentCode
    1651210
  • Title

    Selecting an optimal neural network

  • Author

    Fogel, David B.

  • Author_Institution
    Orincon Corp., San Diego, CA, USA
  • fYear
    1990
  • Firstpage
    1211
  • Abstract
    A relationship between optimal network design and statistical model identification is described. A derivative of Akaike´s information criterion (AIC) is given. This modification yields an information statistic which can be used to select a best network for binary classification problems objectively. The technique can be extended to problems with an arbitrary number of classes
  • Keywords
    identification; neural nets; Akaike´s information criterion; binary classification; optimal neural network; statistical model identification; Art; Computational efficiency; Computer networks; Feedforward neural networks; Maximum likelihood estimation; Neural networks; Neurofeedback; Predictive models; Statistics; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 1990. IECON '90., 16th Annual Conference of IEEE
  • Conference_Location
    Pacific Grove, CA
  • Print_ISBN
    0-87942-600-4
  • Type

    conf

  • DOI
    10.1109/IECON.1990.149309
  • Filename
    149309
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1651210