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A multiple spiking neural network architecture based on fuzzy intervals for anomaly detection: a case study of rail defects
Phusakulkajorn, W.
(Speaker)
Railway Engineering
Activity
:
Talk or presentation
›
Talk or presentation at a conference
Period
23 Jul 2022
Event title
WCCI2022
IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE
Event type
Conference
Location
Padova, Italy
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Degree of Recognition
International
Keywords
prediction interval
anomaly detection
interpretability
parameter uncertainty
spiking neural network