Использование искусственных нейронных сетей для выделения по морским мультичастотным сейсмоакустическим данным опасных геологических процессов и явлений

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Использование искусственных нейронных сетей для выделения по морским мультичастотным сейсмоакустическим данным опасных геологических процессов и явлений. / Galaev, V. E.; Iakushkin, O. O.; Tokarev, M. Yu; Terekhina, Ya E.; Nikolskaya, A. N.; Bulanova, I. A.

17th Conference and Exhibition Engineering and Mining Geophysics 2021. European Association of Geoscientists and Engineers, 2021. (Engineering and Mining Geophysics 2021).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Galaev, VE, Iakushkin, OO, Tokarev, MY, Terekhina, YE, Nikolskaya, AN & Bulanova, IA 2021, Использование искусственных нейронных сетей для выделения по морским мультичастотным сейсмоакустическим данным опасных геологических процессов и явлений. в 17th Conference and Exhibition Engineering and Mining Geophysics 2021. Engineering and Mining Geophysics 2021, European Association of Geoscientists and Engineers, Инженерная и рудная геофизика 2021, Геленджик, Российская Федерация, 26/04/21. https://doi.org/10.3997/2214-4609.202152203

BibTeX

@inproceedings{454512cd8c13443380878d0b47407c0a,

title = "Использование искусственных нейронных сетей для выделения по морским мультичастотным сейсмоакустическим данным опасных геологических процессов и явлений",

abstract = "This work considers the task of automatic identification of discontinuities from high resolution 2D seismoacoustic data. The training of artificial intelligence in this work was performed exclusively on real multifrequency seismoacoustic data, which were marked by an expert. As a result of the work the main problems arising at the decision of a task of creation of the automated marking tool on the basis of the real data marked out by the person have been allocated. The importance of selecting a loss function and the possibility of applying radical data compression while keeping the result close to human markup were noted.",

author = "Galaev, {V. E.} and Iakushkin, {O. O.} and Tokarev, {M. Yu} and Terekhina, {Ya E.} and Nikolskaya, {A. N.} and Bulanova, {I. A.}",

note = "Publisher Copyright: {\textcopyright} Conference and Exhibition Eng. and Mining Geophysics 2021. All rights reserved.; Инженерная и рудная геофизика 2021 ; Conference date: 26-04-2021 Through 30-04-2021",

year = "2021",

doi = "10.3997/2214-4609.202152203",

language = "русский",

isbn = "9789462823723",

series = "Engineering and Mining Geophysics 2021",

publisher = "European Association of Geoscientists and Engineers",

booktitle = "17th Conference and Exhibition Engineering and Mining Geophysics 2021",

address = "Нидерланды",

}

RIS

TY - GEN

T1 - Использование искусственных нейронных сетей для выделения по морским мультичастотным сейсмоакустическим данным опасных геологических процессов и явлений

AU - Galaev, V. E.

AU - Iakushkin, O. O.

AU - Tokarev, M. Yu

AU - Terekhina, Ya E.

AU - Nikolskaya, A. N.

AU - Bulanova, I. A.

PY - 2021

Y1 - 2021

N2 - This work considers the task of automatic identification of discontinuities from high resolution 2D seismoacoustic data. The training of artificial intelligence in this work was performed exclusively on real multifrequency seismoacoustic data, which were marked by an expert. As a result of the work the main problems arising at the decision of a task of creation of the automated marking tool on the basis of the real data marked out by the person have been allocated. The importance of selecting a loss function and the possibility of applying radical data compression while keeping the result close to human markup were noted.

AB - This work considers the task of automatic identification of discontinuities from high resolution 2D seismoacoustic data. The training of artificial intelligence in this work was performed exclusively on real multifrequency seismoacoustic data, which were marked by an expert. As a result of the work the main problems arising at the decision of a task of creation of the automated marking tool on the basis of the real data marked out by the person have been allocated. The importance of selecting a loss function and the possibility of applying radical data compression while keeping the result close to human markup were noted.

UR - http://www.scopus.com/inward/record.url?scp=85114241564&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/76de059f-632b-3466-8095-924fc4cab3a5/

U2 - 10.3997/2214-4609.202152203

DO - 10.3997/2214-4609.202152203

M3 - статья в сборнике материалов конференции

AN - SCOPUS:85114241564

SN - 9789462823723

T3 - Engineering and Mining Geophysics 2021

BT - 17th Conference and Exhibition Engineering and Mining Geophysics 2021

PB - European Association of Geoscientists and Engineers

T2 - Инженерная и рудная геофизика 2021

Y2 - 26 April 2021 through 30 April 2021

ER -

ID: 85751619