• DocumentCode
    1266184
  • Title

    Detection of spurious states of neural networks

  • Author

    Crama, Yves ; Hansen, Pierre ; Jaumard, Brigitte

  • Author_Institution
    Dept. of Quantitative Econ., Limburg Univ., Maastricht, Netherlands
  • Volume
    2
  • Issue
    1
  • fYear
    1991
  • fDate
    1/1/1991 12:00:00 AM
  • Firstpage
    165
  • Lastpage
    168
  • Abstract
    The authors study the complexity and propose an algorithm for the problem of determining, given p vectors of {-1,1}n, all linear combinations of them which are also in {-1,1}n. Computational results are reported. This problem corresponds to the detection of spurious states in neural networks
  • Keywords
    computational complexity; neural nets; complexity; linear combinations; neural networks; spurious states; Computer networks; Hopfield neural networks; Information retrieval; Neural networks; Vectors;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/72.80307
  • Filename
    80307
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1266184