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Neural networks application to reduction of train caused distortions in magnetotelluric measurement data

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Neural networks application to reduction of train caused distortions in magnetotelluric measurement data

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dc.contributor.author Bielecka, Marzena pl
dc.contributor.author Danek, Tomasz pl
dc.contributor.author Wojdyła, Marek pl
dc.contributor.author Baran, Grzegorz pl
dc.date.accessioned 2019-06-27T10:19:00Z
dc.date.available 2019-06-27T10:19:00Z
dc.date.issued 2009 pl
dc.identifier.issn 0860-0295 pl
dc.identifier.uri https://ruj.uj.edu.pl/xmlui/handle/item/78136
dc.language eng pl
dc.rights Dozwolony użytek utworów chronionych *
dc.rights.uri http://ruj.uj.edu.pl/4dspace/License/copyright/licencja_copyright.pdf *
dc.title Neural networks application to reduction of train caused distortions in magnetotelluric measurement data pl
dc.type JournalArticle pl
dc.description.physical 75-86 pl
dc.abstract.en Artificial intelligence methods for MT data processing are proposed. Distortions having a complex structure created by external artificial sources such as, for example, passing train were investigate. In the first part of this paper the time intervals with such type of distortions were found by using a special neuronal system. Next for time intervals found in the first stage the measure curve fragment is removed and then it is replied by the fragment created by a trained perceptron. The experiment showed that used method are effective. pl
dc.subject.en MT data pl
dc.subject.en neural network pl
dc.description.volume 17-18 pl
dc.identifier.eissn 2083-8476 pl
dc.title.journal Schedae Informaticae pl
dc.language.container eng pl
dc.affiliation Wydział Matematyki i Informatyki pl
dc.subtype Article pl
dc.rights.original OTHER; otwarte repozytorium; ostateczna wersja wydawcy; po opublikowaniu; 120 pl
dc.identifier.project ROD UJ / OP pl


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