Detail publikačního výsledku

Event classification from distributed interferometric sensor using neural network

TOMAŠOV, A.; DEJDAR, P.; CEM, A.; MÜNSTER, P.; HORVÁTH, T.

Originální název

Event classification from distributed interferometric sensor using neural network

Anglický název

Event classification from distributed interferometric sensor using neural network

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

The paper presents a combination of a distributed sensor based on a Mach-Zehnder interferometer and an artificial neural network used for event classification. The proposed system achieves almost 99% accuracy in classification into 7 categories.

Anglický abstrakt

The paper presents a combination of a distributed sensor based on a Mach-Zehnder interferometer and an artificial neural network used for event classification. The proposed system achieves almost 99% accuracy in classification into 7 categories.

Klíčová slova

Fabry Perot interferometers; Fiber optic sensors; Mach Zehnder interferometers; Michelson interferometers; Neural networks; Sagnac interferometry

Klíčová slova v angličtině

Fabry Perot interferometers; Fiber optic sensors; Mach Zehnder interferometers; Michelson interferometers; Neural networks; Sagnac interferometry

Autoři

TOMAŠOV, A.; DEJDAR, P.; CEM, A.; MÜNSTER, P.; HORVÁTH, T.

Rok RIV

2023

Vydáno

29.10.2022

Nakladatel

Optica Publishing Group

Místo

Alexandria, Virginia United States

ISBN

978-1-957171-14-2

Kniha

27th International Conference on Optical Fiber Sensors

Strany počet

4

URL

https://opg.optica.org/abstract.cfm?uri=OFS-2022-Th4.58

BibTex

@inproceedings{BUT179736,
  author="Adrián {Tomašov} and Petr {Dejdar} and Ali {Cem} and Petr {Münster} and Tomáš {Horváth}",
  title="Event classification from distributed interferometric sensor using neural network",
  booktitle="27th International Conference on Optical Fiber Sensors",
  year="2022",
  pages="4",
  publisher="Optica Publishing Group",
  address="Alexandria, Virginia United States",
  isbn="978-1-957171-14-2",
  url="https://opg.optica.org/abstract.cfm?uri=OFS-2022-Th4.58"
}