The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.03 - June (1994 vol.14)
pp: 29-39
ABSTRACT
<p>EPSILON, a large, working, VLSI device, demonstrates pulse stream methods in the wider context of analog neural networks. EPSILON uses dynamic weight storage techniques, but a nonvolatile alternative is desirable. To that end, we have developed an amorphous silicon memory, which we present in experiments incorporating the device in a modest pulse stream neural chip. We have also developed a target-based training algorithm, which we demonstrate in a prototype learning device using a realistic problem. Finally, we explore system-level problems in experiments with a second version of EPSILON in a small, autonomous robot.</p>
CITATION
Alan F. Murray, Stephen Churcher, Alister Hamilton, Andrew J. Homes, Geoff B. Jackson, H. Martin Reekie, Robin J. Woodburn, "Pulse Stream VLSI Neural Networks", IEEE Micro, vol.14, no. 3, pp. 29-39, June 1994, doi:10.1109/40.285222
20 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool