@inproceedings{bc223b8a7fff48b4af2d3ed8a62da4ba,
title = "Analog VLSI neural network implementations of hardware annealing and winner-take-all functions",
abstract = "The hardware annealing function plays a key role in searching for the optimal solutions for Hopfield neural networks and multi-layer back-propagation networks. The winner-take-all function is required in the operation of competitive-learning networks. Design and VLSI implementation of these two functions have been accomplished. Demonstration of hardware annealing with different synapse circuits is presented. The new high-speed analog winner-take-all circuit is linearly extendable to at least 1,024 inputs.",
author = "Joongho Choi and Sheu, {Bing J.} and Gowda, {Sudhir M.}",
note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 34th Midwest Symposium on Circuits and Systems, MWSCAS 1991 ; Conference date: 14-05-1992 Through 17-05-1992",
year = "1991",
doi = "10.1109/MWSCAS.1991.252167",
language = "English",
series = "Midwest Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "344--347",
booktitle = "1991 Proceedings of the 34th Midwest Symposium on Circuits and Systems, MWSCAS 1991",
address = "United States",
}