Programmable optoelectronic neural network for optimization

Keith J. Symington, Yves Randle, Andrew J. Waddie, Mohammed R. Taghizadeh, John F. Snowdon

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

An optoelectronic neural network is presented that is designed to solve the assignment problem - or any similar optimization task given minimal adjustment - in both crossbar and banyan packet switches. We examine the design decisions made at the hardware, software, and algorithmic levels and indicate the associated effect on the system as a whole. Clearly detailed experimental results show the system's robustness and performance due to the particular optoelectronic-algorithm combination used. The integration and packaging of such a system are also briefly discussed. © 2004 Optical Society of America.

Original languageEnglish
Pages (from-to)866-876
Number of pages11
JournalApplied Optics
Volume43
Issue number4
DOIs
Publication statusPublished - 1 Feb 2004

Fingerprint Dive into the research topics of 'Programmable optoelectronic neural network for optimization'. Together they form a unique fingerprint.

Cite this