Temporal Convolutional Networks for Anomaly Detection in Time Series

Convolutional Networks have been demonstrated to be particularly useful for extracting high level feature in structural data. Temporal convolutional network (TCN) is a framework which employs casual convolutions and dilations so that it is adaptive for sequential data with its temporality and large...

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Veröffentlicht in:	Journal of physics. Conference series 2019-06, Vol.1213 (4), p.42050
Hauptverfasser:	He, Yangdong, Zhao, Jiabao
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Feature extraction Normal distribution Physics Sequences Time series
Online-Zugang:	Volltext
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