Abstract

A programmable optoelectronic neural network architecture is examined that has been optimized to make routing decisions in both crossbar and banyan packet switch fabrics. Experimental results are presented that demonstrate a high tolerance to both noise and component inconsistencies.

© 2003 Optical Society of America

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