Ensemble Neuroevolution-Based Approach for Multivariate Time Series Anomaly Detection

Multivariate time series anomaly detection is a widespread problem in the field of failure prevention. Fast prevention means lower repair costs and losses. The amount of sensors in novel industry systems makes the anomaly detection process quite difficult for humans. Algorithms that automate the pro...

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Bibliografski detalji

Glavni autori:	Kamil Faber, Marcin Pietron, Dominik Zurek
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2021-11-01
Serija:	Entropy
Teme:	neuroevolution anomaly detection ensemble model CNN time series deep learning
Online pristup:	https://www.mdpi.com/1099-4300/23/11/1466
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