Neural network experiment demonstrating all optical data switching

E. C. Mos, H. de Waardt, J. J H B Schleipen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

In our laser neural network (LNN), previously reported, a laser diode with an extended cavity is used to provide all- optical neural action. The neurons of the network are the longitudinal cavity modes of the laser. Weighted inputs are provided to these neurons via an optical matrix vector multiplier placed in the external cavity. A setup that uses a fast liquid crystal display and a loop mirror is used to expand the capabilities of the LNN to data switching applications. Up to 32 neurons can be defined having up to 12 inputs. As an example a 1:16 data decoder is demonstrated.
Original languageEnglish
Title of host publicationInternational Conference on Applications of Photonic Technology III: Closing the Gap between Theory, Development, and Applications
EditorsG.A. Lampropoulos, R.A. Lessard
Place of PublicationWashington, DC
PublisherSPIE
Pages67-70
Number of pages4
ISBN (Print)0-8194-2950-3
DOIs
Publication statusPublished - 1999
Event1998 International Conference on Applications of Photonic Technology, ICAPT - Ottawa, Can
Duration: 29 Jul 199831 Jul 1998

Publication series

NameProceedings of SPIE
Volume3491
ISSN (Print)0277-786X

Conference

Conference1998 International Conference on Applications of Photonic Technology, ICAPT
CityOttawa, Can
Period29/07/9831/07/98

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