• DocumentCode
    1422663
  • Title

    Neural chip SAND/1 for real time pattern recognition

  • Author

    Eppler, W. ; Fischer, T. ; Gemmeke, H. ; Koder, T. ; Stotzka, R.

  • Author_Institution
    Forschungszentrum Karlsruhe, Germany
  • Volume
    45
  • Issue
    4
  • fYear
    1998
  • fDate
    8/1/1998 12:00:00 AM
  • Firstpage
    1819
  • Lastpage
    1823
  • Abstract
    The neural chip SAND/1 (Simple Applicable Neural Device) was designed to accelerate computations of neural networks at a very low cost basis. Low cost means that only few peripheral chips are necessary to use the neural network chip in applications. The design criterions of the chip are described. A PCI-board was developed and a VME-board is under construction to facilitate applications. At present, time series prognosis, multidimensional curve fitting, pattern recognition in gamma-shower detection and mammography are under evaluation. The last application is described in more detail
  • Keywords
    diagnostic radiography; medical image processing; neural chips; pattern recognition; real-time systems; systolic arrays; time series; PCI-board; SAND/1; Simple Applicable Neural Device; VME-board; gamma-shower detection; mammography; multidimensional curve fitting; neural chip; neural network chip; pattern recognition; peripheral chips; real time pattern recognition; time series prognosis; Acceleration; Computer networks; Costs; Curve fitting; Gamma ray detection; Gamma ray detectors; Multidimensional systems; Neural network hardware; Neural networks; Pattern recognition;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/23.710943
  • Filename
    710943