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 |
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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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