Coupled waveguides geometry retrieval using neural networks

Tom Coen, Hadar Greener, Michael Mrejen, Lior Wolf, Haim Suchowski

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

Abstract

This work presents a data driven method to retrieve the geometry of a coupled waveguide system from the measured intensity of the electric field. It is shown that neural networks perform better than kNN regression.

Original languageEnglish
Title of host publicationCLEO
Subtitle of host publicationApplications and Technology, CLEO_AT 2020
PublisherOSA - The Optical Society
ISBN (Electronic)9781557528209
DOIs
StatePublished - 2020
EventCLEO: Applications and Technology, CLEO_AT 2020 - Washington, United States
Duration: 10 May 202015 May 2020

Publication series

NameOptics InfoBase Conference Papers
VolumePart F181-CLEO-AT 2020

Conference

ConferenceCLEO: Applications and Technology, CLEO_AT 2020
Country/TerritoryUnited States
CityWashington
Period10/05/2015/05/20

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