• DocumentCode
    1274007
  • Title

    Interpolating self-organising map (iSOM)

  • Author

    Yin, H. ; Allinson, N.M.

  • Author_Institution
    Dept. of Electr. Eng. & Electron., Univ. of Manchester Inst. of Sci. & Technol., UK
  • Volume
    35
  • Issue
    19
  • fYear
    1999
  • fDate
    9/16/1999 12:00:00 AM
  • Firstpage
    1649
  • Lastpage
    1650
  • Abstract
    A new learning algorithm is presented for enhancing the scale or structure of an already trained self-organising map (SOM) without the need to re-use the original training data. Alternative methods for the insertion of these additional interpolating neurons, while still preserving the learnt topology, are presented together with two illustrative examples of the algorithm in operation
  • Keywords
    data visualisation; interpolation; learning (artificial intelligence); self-organising feature maps; additional interpolating neurons; already trained self-organising map; data visualisation; interpolating self-organising map; learning algorithm; scale enhancement; structure enhancement;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19991149
  • Filename
    807048
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1274007