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Autocompensated capacitive circuit for stochastic neural networks

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4 Author(s)
Zhu, Y. ; Univ. de Paris-Sud, Orsay ; Belhaire, E. ; Ni, Y. ; Garda, P.

A capacitive analogue circuit for the implementation of stochastic neural networks is described. This circuit automatically compensates for parasitic effects such as charge injection and the offset of the decision unit; it is well-suited to the implementation of the learning algorithms of Boltzmann machines

Published in:

Electronics Letters  (Volume:30 ,  Issue: 4 )

Date of Publication:

17 Feb 1994

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