2025-02-23T05:59:59-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-171679%22&qt=morelikethis&rows=5
2025-02-23T05:59:59-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-171679%22&qt=morelikethis&rows=5
2025-02-23T05:59:59-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T05:59:59-05:00 DEBUG: Deserialized SOLR response
Алгоритми FLARS та виділення аномалій часових рядів

Алгоритми FLARS та виділення аномалій часових рядів

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...

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Bibliographic Details
Main Authors: Gvishiani, A. D., Agayan, S. M., Bogoutdinov, Sh. R., Tikhotski, S. A., Hinderer, J., Bonnin, J., Diament, M.
Format: Article
Language:English
Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2019
Online Access:http://journal.iasa.kpi.ua/article/view/171679
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http://journal.iasa.kpi.ua/article/view/171679

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