• DocumentCode
    1808015
  • Title

    The modular map

  • Author

    Lighttowler, N. ; Allen, A.R. ; Grant, H. ; Hendry, D.C. ; Spracklen, C.T.

  • Author_Institution
    Dept. of Eng., Aberdeen Univ., UK
  • Volume
    2
  • fYear
    1999
  • fDate
    36342
  • Firstpage
    851
  • Abstract
    The modular map is a fully digital implementation of an artificial neural network (ANN) inspired by the self-organising map (SOM). By utilising a combination of full custom and semi-custom design techniques a device has been developed that implements 256 neurons. While an individual device is a self-contained neural network suitable for real-time applications, these devices have been designed as building blocks for modular neural network systems to provide a scaleable implementation. These devices can be combined to form massively parallel implementations of the SOM in a way that minimises increases in training time for the network
  • Keywords
    application specific integrated circuits; digital integrated circuits; learning (artificial intelligence); self-organising feature maps; ANN; SOM; artificial neural network; fully digital implementation; massively parallel implementations; modular map; self-organising map; semi-custom design techniques; Artificial neural networks; Data communication; Drilling; Euclidean distance; Face recognition; Neural networks; Neurons; Real time systems; Space technology; Telemetry;
  • 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.1999.831063
  • Filename
    831063