• DocumentCode
    1843419
  • Title

    Time topology for the self-organizing map

  • Author

    Somervuo, Panu

  • Author_Institution
    Neural Networks Res. Centre, Helsinki Univ. of Technol., Hut, Finland
  • Volume
    3
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1900
  • Abstract
    Time information of the input data is used for evaluating the goodness of the self-organizing map to store and represent temporal feature vector sequences. A new node neighborhood is defined for the map which takes the temporal order of the input samples into account. A connection is created between those two map modes which are the best-matching units for two successive input samples in time. This results in the time-topology preserving network
  • Keywords
    self-organising feature maps; topology; best-matching units; self-organizing map; temporal feature vector sequences; temporal order; time topology; unsupervised learning; Artificial neural networks; Ear; Euclidean distance; Lattices; Network topology; Neural networks; Position measurement; Unsupervised learning;
  • 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.1999.832671
  • Filename
    832671
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1843419