Group Report 3: Hardware (e.g. Transputer Based) for Neural Computing

  • R. Shepherd
  • S. Garth
Conference paper
Part of the Springer Study Edition book series (volume 41)


The interests of workers involved in neural computing are exceedingly varied and consequently, their specific computational requirements cannot be universally defined. Nevertheless it is possible to draw some broad generalizations which help to classify the problem.


Neural Computing Float Point Arithmetic Neural Network Simulation Connection Machine Optimal Hardware 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag Berlin Heidelberg 1989

Authors and Affiliations

  • R. Shepherd
    • 1
  • S. Garth
    • 2
  1. 1.INMOSBristolUK
  2. 2.Texas InstrumentsBedfordUK

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