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Pulse stream VLSI neural networks

Alan F. Murray, S. Churcher, Alister Hamilton, African Homes, G.B. Jackson, H. Martin Reekie, R. Woodburn

发表年份
1994
引用次数
22

摘要

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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

关键词

Computer scienceVery-large-scale integrationArtificial neural networkContext (archaeology)Pulse (music)ChipRobotArtificial intelligenceEmbedded systemTelecommunications

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