| Data Science Journal | |
| Mathematical Tools for Geomagnetic Data Monitoring and the Intermagnet Russian Segment | |
| Ruslan Kulchinskiy1  Anatoly Soloviev1  Alexei Gvishiani1  Jacques Zlotnicki2  Shamil Bogoutdinov1  | |
| [1] Geophysical Center of Russian Academy of Sciences, Moscow, Russia (GC RAS);Observatoire de Physique du Globe de Clermont-Ferrand, Campus des Cuzeaux, Aubiere Cedex, France | |
| 关键词: Magnetic field; Fuzzy sets; Time series; Magnetic observatory; | |
| DOI : 10.2481/dsj.WDS-019 | |
| 学科分类:计算机科学(综合) | |
| 来源: Ubiquity Press Ltd. | |
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【 摘 要 】
References(12)In this paper, a new approach to the detection of anomalies in geophysical records is connected with a fuzzy mathematics application. The theory of discrete mathematical analysis and collection of algorithms for time series processing constructed on its basis represents the results of this research direction. These algorithms are the consequence of fuzzy modeling of the logic of an interpreter who visually recognizes anomalies in records. They allow analyzing large data sets that are not subjected to manual processing. The efficiency of these algorithms is demonstrated in several important geophysical applications. Plans for an extension of the Russian INTERMAGNET segment are presented.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201911300300103ZK.pdf | 1267KB |
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