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(Junction) Charge-Coupled Device Technology for Artificial Neural Networks

  • J. Hoekstra
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 122)

Abstract

In this chapter the use of charge-coupled device technologies for the implementation of artificial neural networks (ANNs) is discussed and the design principles for these networks with junction charge-coupled devices are described. The implementation of neural networks with junction charge-coupled devices is illustrated by a simple test chip1, on which a McCulloch-Pitts neuron is fabricated and successfully tested at a clock frequency of 40 MHz.

Keywords

Artificial Neural Network Delay Line Clock Period Artificial Neuron Hopfield 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

© Springer Science+Business Media Dordrecht 1991

Authors and Affiliations

  • J. Hoekstra

There are no affiliations available

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