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Machine learning and Silicon Photonic Sensor for Complex Chemical Components Determination

  • H. Zhang
  • , M. F. Karim
  • , S. N. Zheng
  • , H. Cai
  • , Y. D. Gu
  • , S. S. Chen
  • , H. Yu
  • , A. Q. Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

We propose an integrated microring resonator sensing system based on Backward-Propagation Neural Networks (BPNN)-Adaboost algorithm to predict component fraction in binary liquid mixtures. A minimum absolute error of 0.0023 and mean squared error of 0.000345 is achieved by this training model.

Original languageEnglish
Title of host publication2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781943580422
Publication statusPublished - 6 Aug 2018
Externally publishedYes
Event2018 Conference on Lasers and Electro-Optics, CLEO 2018 - San Jose, United States
Duration: 13 May 201818 May 2018

Publication series

Name2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings

Conference

Conference2018 Conference on Lasers and Electro-Optics, CLEO 2018
Country/TerritoryUnited States
CitySan Jose
Period13/05/1818/05/18

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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