Regression Derivatives and Their Application in the Study of Magnetic Storms

S. Agayan, Shamil Bogoutdinov, R. Sidorov, Anatoly Soloviev, Dmitry Kamaev, Andron O. Aleksanyan, B. Dzeranov
{"title":"Regression Derivatives and Their Application in the Study of Magnetic Storms","authors":"S. Agayan, Shamil Bogoutdinov, R. Sidorov, Anatoly Soloviev, Dmitry Kamaev, Andron O. Aleksanyan, B. Dzeranov","doi":"10.2205/2023es000889","DOIUrl":null,"url":null,"abstract":"Discrete Mathematical Analysis (DMA) is a data analysis method that uses fuzzy mathematics and fuzzy logic. DMA involves the active participation of the researcher in the study of records, offering technologies and algorithms for analyzing records through the properties of interest to the researcher. In the present work, such properties are related to regression derivatives, and the results obtained are applied to magnetic records. The possibilities of the method in the morphological analysis of geomagnetic storms are demonstrated on the example of three strongest storms that have occurred since the beginning of the current 25th solar cycle.","PeriodicalId":510085,"journal":{"name":"Russian Journal of Earth Sciences","volume":"35 10","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Russian Journal of Earth Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2205/2023es000889","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Discrete Mathematical Analysis (DMA) is a data analysis method that uses fuzzy mathematics and fuzzy logic. DMA involves the active participation of the researcher in the study of records, offering technologies and algorithms for analyzing records through the properties of interest to the researcher. In the present work, such properties are related to regression derivatives, and the results obtained are applied to magnetic records. The possibilities of the method in the morphological analysis of geomagnetic storms are demonstrated on the example of three strongest storms that have occurred since the beginning of the current 25th solar cycle.
回归导数及其在磁暴研究中的应用
离散数学分析(DMA)是一种使用模糊数学和模糊逻辑的数据分析方法。离散数学分析让研究人员积极参与记录研究,通过研究人员感兴趣的属性提供分析记录的技术和算法。在本研究中,这些属性与回归导数有关,所获得的结果适用于磁性记录。以当前第 25 个太阳周期开始以来发生的三次最强风暴为例,展示了该方法在地磁暴形态分析中的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信