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dc.contributor.authorHunt, S.
dc.contributor.authorSun, Yi
dc.contributor.authorShafarenko, A.
dc.contributor.authorDavey, N.
dc.contributor.authorBoscolo, S.
dc.contributor.authorTuritsyn, S.K.
dc.date.accessioned2009-10-19T09:09:02Z
dc.date.available2009-10-19T09:09:02Z
dc.date.issued2008
dc.identifier.citationIn: Proceedings of the 2008 UK Workshop on Computational Intelligence (UKCI)en
dc.identifier.other903604
dc.identifier.urihttp://hdl.handle.net/2299/3965
dc.description.abstractWe have demonstrated the applicability of neural-network-based systems to the problem of reducing the effects of signal distortion, and shown that such a system has the potential to reduce the bit-error-rate in the digitized version of the analogue electrical signal derived from an optical data stream by a substantial margin over existing techniques.en
dc.format.extent543838 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherDe Montfort Universityen
dc.titleUsing Simple Neural Networks to Correct Errors in Optical Data Transmission.en
dc.typeConference paperen
herts.preservation.rarelyaccessedtrue


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