• DocumentCode
    3285348
  • Title

    Novel Embryonic Array with Neural Network Characteristics

  • Author

    Samie, M. ; Dragffy, G. ; Kiely, J.

  • Author_Institution
    IRIB, Tehran
  • fYear
    2007
  • fDate
    5-8 Aug. 2007
  • Firstpage
    420
  • Lastpage
    430
  • Abstract
    This paper introduces a novel design approach for embryonic arrays that is able to employ all three axial characteristics of living beings: phytogeny, ontogeny, and epigenesis. Rather than using multiplexer based binary decision diagrams (BDD) it utilizes the K/N digital neurons to define the functionality of the cells. A special neural network design technique that uses Voronoi diagram (VoD) will be employed that enables neural network array-like configuration of embryonic arrays. Additionally, learning ability, geometrical extraction of genome, gate level configuration, large number of minterm and sum of products (SOP) generation for its constituent cells are some of the other advantages of the technique.
  • Keywords
    computational geometry; field programmable gate arrays; neural nets; K/N digital neurons; Voronoi diagram; embryonic array; epigenesis; gate level configuration; geometrical genome extraction; learning ability; minterm; neural network characteristics; ontogeny; phytogeny; sum of products generation; Bioinformatics; DNA; Embryo; Euclidean distance; Field programmable gate arrays; Genomics; Hardware; Neural networks; Neurons; Phylogeny;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Adaptive Hardware and Systems, 2007. AHS 2007. Second NASA/ESA Conference on
  • Conference_Location
    Edinburgh
  • Print_ISBN
    978-0-7695-2866-3
  • Type

    conf

  • DOI
    10.1109/AHS.2007.80
  • Filename
    4291950