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A comparison ofthe efficiency of fault detection between neuro-fuzy models and artificial neural networks

Urszula Bienio

Abstract

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Diploma type
Engineer's / Bachelor of Science
Diploma type
Engineer's thesis
Author
Urszula Bienio (FM) Urszula Bienio,, Faculty of Mechatronics (FM)
Title in Polish
Porównanie skuteczności detekcji awarii przez modele neuronowo-rozmyte i w postaci sieci neuronowych
Supervisor
Anna Jankowska (FM/IACR) Anna Jankowska,, The Institute of Automatic Control and Robotics (FM/IACR)Faculty of Mechatronics (FM)
Certifying unit
Faculty of Mechatronics (FM)
Affiliation unit
The Institute of Automatic Control and Robotics (FM/IACR)
Study subject / specialization
, Automatyka i Robotyka (Automation and Robotics)
Language
(pl) Polish
Status
Finished
Defense Date
15-02-2016
Issue date (year)
2016
Reviewers
Stanisław Kornacki (FM/IACR) Stanisław Kornacki,, The Institute of Automatic Control and Robotics (FM/IACR)Faculty of Mechatronics (FM) Anna Jankowska (FM/IACR) Anna Jankowska,, The Institute of Automatic Control and Robotics (FM/IACR)Faculty of Mechatronics (FM)
Keywords in Polish
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Keywords in English
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Abstract in Polish
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File
  • File: 1
    Praca_dyplomowa_inżynierska_Urszula_Bienio.pdf
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Local fields
Identyfikator pracy APD: 10019

Uniform Resource Identifier
https://repo.pw.edu.pl/info/bachelor/WUTeb984f10177b4d18b6721da1bb47d456/
URN
urn:pw-repo:WUTeb984f10177b4d18b6721da1bb47d456

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