Support vector regression for anomaly detection from measurement histories

Kromanis, R ORCID logoORCID: https://orcid.org/0000-0003-3477-1666 and Kripakaran, P, 2013. Support vector regression for anomaly detection from measurement histories. Advanced Engineering Informatics, 27 (4), pp. 486-495. ISSN 1474-0346

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Item Type: Journal article
Publication Title: Advanced Engineering Informatics
Creators: Kromanis, R. and Kripakaran, P.
Publisher: Elsevier
Date: October 2013
Volume: 27
Number: 4
ISSN: 1474-0346
Identifiers:
Number
Type
10.1016/j.aei.2013.03.002
DOI
Divisions: Schools > School of Architecture, Design and the Built Environment
Record created by: Linda Sullivan
Date Added: 11 Jul 2016 09:07
Last Modified: 09 Jun 2017 14:04
URI: https://irep.ntu.ac.uk/id/eprint/28119

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