Algorithm flars and recognition of time series anomalies
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...
Gespeichert in:
| Datum: | 2004 |
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| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Навчально-науковий комплекс "Інститут прикладного системного аналізу" НТУУ "КПІ" МОН та НАН України
2004
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| Schriftenreihe: | Системні дослідження та інформаційні технології |
| Schlagworte: | |
| Online Zugang: | https://nasplib.isofts.kiev.ua/handle/123456789/50346 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Zitieren: | Algorithm flars and recognition of time series anomalies / A.D. Gvishiani, S.M. Agayan, Sh.R. Bogoutdinov, S.A. Tikhotski, J. Hinderer, J. Bonnin, M. Diament // Систем. дослідж. та інформ. технології. — 2004. — № 3. — С. 7-16. — Бібліогр.: 13 назв. — англ. |
Institution
Digital Library of Periodicals of National Academy of Sciences of Ukraine| Zusammenfassung: | 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 means «smooth» modelling (in fuzzy mathematics sense) of interpreter’s logic, which searches for anomalies at the record. |
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