{"title":"Integrated Method for Moderation of Hydrological Data Using Singular Spectrum Analysis and Neural Networks","authors":"R. Korotchenko, A. Kosheleva","doi":"10.17587/it.29.149-156","DOIUrl":null,"url":null,"abstract":"The paper considers a method for preprocessing (moderating) in situ hydrological data, which allows us to effectivety identify and eliminate noises of various nature. Registered data sometimes can contain abrupt surges and high-frequency pickup, caused by technology-related factors (operation nuances of the equipment used). They contradict the physical and space-time scales of hydrological wave processes, but at the same time they are not always obvious to a human operator conducting primary control. For the procedure of automatic moderation, the use of neural networks in combination with the methods of singular spectrum analysis (SSA) is proposed and the results of its practical application are demonstrated.","PeriodicalId":37476,"journal":{"name":"Radioelektronika, Nanosistemy, Informacionnye Tehnologii","volume":"19 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radioelektronika, Nanosistemy, Informacionnye Tehnologii","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17587/it.29.149-156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Materials Science","Score":null,"Total":0}
引用次数: 0
Abstract
The paper considers a method for preprocessing (moderating) in situ hydrological data, which allows us to effectivety identify and eliminate noises of various nature. Registered data sometimes can contain abrupt surges and high-frequency pickup, caused by technology-related factors (operation nuances of the equipment used). They contradict the physical and space-time scales of hydrological wave processes, but at the same time they are not always obvious to a human operator conducting primary control. For the procedure of automatic moderation, the use of neural networks in combination with the methods of singular spectrum analysis (SSA) is proposed and the results of its practical application are demonstrated.
期刊介绍：
Journal “Radioelectronics. Nanosystems. Information Technologies” (abbr RENSIT) publishes original articles, reviews and brief reports, not previously published, on topical problems in radioelectronics (including biomedical) and fundamentals of information, nano- and biotechnologies and adjacent areas of physics and mathematics. The authors of the journal are academicians, corresponding members and foreign members of the Russian Academy of Natural Sciences (RANS) and their colleagues, as well as other russian and foreign authors on the proposal of the members of RANS, which can be obtained by the author before sending articles to the editor or after its arrival on the recommendation of a member of the editorial board or another member of the RANS, who gave the opinion on the article at the request of the editior. The editors will accept articles in both Russian and English languages. Articles are internally peer reviewed (double-blind peer review) by members of the Editorial Board. Some articles undergo external review, if necessary. Designed for researchers, graduate students, physics students of senior courses and teachers. It turns out 2 times a year (that includes 2 rooms)
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