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Increase of the Resistance to Noise in Data for Neural Network Solution of the Inverse Problem of Magnetotellurics with Group Determination of Parametersстатья
Информация о цитировании статьи получена из
Web of Science,
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 30 декабря 2016 г.
- Авторы: Isaev I., Obornev E., Obornev I., Shimelevich M., Dolenko S.
- Журнал: Lecture Notes in Computer Science
- Том: 9886
- Год издания: 2016
- Первая страница: 502
- Последняя страница: 509
- DOI: 10.1007/978-3-319-44778-0_59
- Аннотация: When a multi-parameter inverse problem is solved with artificial neural networks, it is usually solved separately for each determined parameter (autonomous determination). In their preceding studies, the authors have demonstrated that joining parameters into groups with simultaneous determination of the values of all parameters within each group may in some cases improve the precision of solution of inverse problems. In this study, the observed effect has been investigated in respect to its resistance to noise in data. The study has been performed at the example of the inverse problem of magnetotellurics, which has a high dimensionality.
- Добавил в систему: Доленко Сергей Анатольевич