Алгоритми FLARS та виділення аномалій часових рядів

• Datum: 2019
• Hauptverfasser: Gvishiani, A. D., Agayan, S. M., Bogoutdinov, Sh. R., Tikhotski, S. A., Hinderer, J., Bonnin, J., Diament, M.
• Format: Artikel
• Sprache: Englisch
• Veröffentlicht: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2019
• Online Zugang: http://journal.iasa.kpi.ua/article/view/171679
• Назва журналу: System research and information technologies

As a rule, algorithms of recognition of time series anomalies are based on time frequency or statistical analysis . This article is devoted to detailed formal description of new fuzzy set based algorithm FLARS (Fuzzy Logic Algorithm for Recognition of Signals). It recognizes time series anomalies by...