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Experimental Studies of Analog Neural Networks

  • Robert C. Frye
  • Edward A. Reitman
Part of the Frontiers of Computing Systems Research book series (FCSR, volume 2)

Abstract

As. the levels of complexity in problems of scientific interest have escalated, our approach to solving these problems has historically been to find and use increasingly sophisticated and complicated solutions. We have been aided in this task by the explosive development of powerful, inexpensive, general purpose digital computers. Also, as the computational tools at our disposal have increased in power and affordability, we have applied them to more difficult problems. Whether the problems to be solved are driving the development of more powerful computers or vice versa is hard to say, but the coupling between the two is strong and the trend is clear.

Keywords

Hide Layer Component Variation Hide Neuron Synaptic Weight Adaptive Network 
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.

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Copyright information

© Plenum Press, New York 1991

Authors and Affiliations

  • Robert C. Frye
    • 1
  • Edward A. Reitman
    • 1
  1. 1.AT&T Bell LaboratoriesMurray HillUSA

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