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VLSI Implementation of Neural Networks

Faggin, Federico and Mead, Carver (1990) VLSI Implementation of Neural Networks. In: An Introduction to neural and electronic networks. Academic Press , San Diego, CA, pp. 275-292. ISBN 0127818804. https://resolver.caltech.edu/CaltechAUTHORS:20150109-122323757

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Abstract

The recent resurgence of interest in neural networks (NNs) has resulted in the application of NNs to a variety of problem domains. The initial results show great promise, which in tum is motivating research in appropriate implementation technologies. Several approaches are now being explored; at one extreme of the spectrum is algorithmic research for software running on a conventional computer, whereas at the other extreme researchers are exploring radically new computational structures, such as optical computing. A more conservative approach relies on adapting the existing silicon-based CMOS VLSI (complementary metal oxide semiconductor, very large scale integration) technology to the unique needs of NN computation.


Item Type:Book Section
Additional Information:© 1990 Academic Press.
Record Number:CaltechAUTHORS:20150109-122323757
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20150109-122323757
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:53486
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:09 Jan 2015 21:06
Last Modified:03 Oct 2019 07:50

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