• DocumentCode
    3630288
  • Title

    Neuronal groups and interrelations

  • Author

    Michal Pryczek

  • Author_Institution
    Institute of Computer Science, Technical University of Lodz, Wolczanska 215, 90-924, Poland
  • fYear
    2008
  • Firstpage
    221
  • Lastpage
    227
  • Abstract
    Recent development of various domains of Artificial Intelligence including Information Retrieval and Text/Image Understanding created demand on new, sophisticated, contextual methods for data analysis. This article formulates Neuronal Group and Extended Neuron Somatic concepts that can be vastly used in creating such methods. Neural interrelations are described using graphs, construction of which is done in parallel with neural network learning. Prototype technique based on Growing Neural Gas is also presented to give more detailed view.
  • Keywords
    "Pattern recognition","Extraterrestrial measurements","Kernel","Computer science","Information retrieval","Image retrieval","Prototypes","Pattern analysis","Feature extraction","Information technology"
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2008. IMCSIT 2008. International Multiconference on
  • Print_ISBN
    978-83-60810-14-9
  • Type

    conf

  • DOI
    10.1109/IMCSIT.2008.4747243
  • Filename
    4747243