An Analog Neural-Network Co-processor System for Rapid Prototyping of Telecommunications Applications
Bellcore445 South Street, Morristown, New Jersey 07960-6438 USAtony@bellcore.bellcore.comjosh@bellcore.bellcore.com
Abstract
We describe an experimental neural network learning system that is designed to rapidly prototype telecommunications applications. It functions as a co-processor in a Sun4 workstation through the VME bus interface and is controlled by a friendly, graphical user interface. The experimental prototype system uses the cascadable analog learning chips that have been described in a previous publication [1]. A four-chip network consisting of 128 neurons and about 2000 adaptive synapses has ...
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