A novel energy-based online sequential extreme learning machine to detect anomalies over real-time data streams
Crossref DOI link: https://doi.org/10.1007/s00521-021-05731-2
Published Online: 2021-06-19
Published Print: 2022-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Wang, Xiaoping
Tu, Shanshan
Zhao, Wei
Shi, Chengjie
Text and Data Mining valid from 2021-06-19
Version of Record valid from 2021-06-19
Article History
Received: 6 October 2020
Accepted: 12 January 2021
First Online: 19 June 2021
Compliance with ethical standards
:
: The authors declare that they have no conflict of interest.