Membrane System-Based Improved Neural Networks for Time-Series Anomaly Detection

Membrane System-Based Improved Neural Networks for Time-Series Anomaly Detection

Anomaly detection in time series has attracted much attention recently and is quite a challenging task. In this paper, a novel deep-learning approach (AL-CNN) that classifies the time series as normal or abnormal with less domain knowledge is proposed. The proposed algorithm combines Convolutional N...

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Bibliographic Details
Main Authors: Wenxiang Guo, Xiyu Liu, Laisheng Xiang
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Processes
Subjects:
membrane systems
anomaly detection
time series
convolutional neural networks
long short-term memory
Online Access:https://www.mdpi.com/2227-9717/8/9/1168

Internet

https://www.mdpi.com/2227-9717/8/9/1168

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