Filtern
Erscheinungsjahr
- 2022 (1)
Dokumenttyp
- Vortrag (1) (entfernen)
Sprache
- Englisch (1)
Referierte Publikation
- nein (1)
Schlagworte
- Convolutional neural networks (1) (entfernen)
Organisationseinheit der BAM
Eingeladener Vortrag
- nein (1)
Brillouin Optical Frequency Domain Analysis (BOFDA) is a powerful and well-established method for static distributed sensing of temperature and strain. Recently, we demonstrated a BOFDA system based on convolutional neural network which shortens the measurement time considerably. In this paper, we apply leave-one-out cross validation to evaluate the generalization performance and provide an unbiased and reliable machine learning model for a time-efficient BOFDA system.