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Data-driven partial differential equations discovery approach for the noised multi-dimensional data

Тип документаBook Chapter
Дата публикации2020-01-01
Название журналаLecture Notes in Computer Science
ИздательSpringer Nature
Квартиль по SCImagoQ2
Квартиль по Web of Science
Импакт-фактор 2021
ISSN03029743, 16113349
Пристатейные ссылки: 12
Цитируется в публикациях: 1
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ГОСТ |
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1. Maslyaev M., Hvatov A., Kalyuzhnaya A. Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data // Computational Science – ICCS 2020. 2020. С. 86–100.
RIS |
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TY - GENERIC

DO - 10.1007/978-3-030-50417-5_7

UR - http://dx.doi.org/10.1007/978-3-030-50417-5_7

TI - Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data

T2 - Lecture Notes in Computer Science

AU - Maslyaev, Mikhail

AU - Hvatov, Alexander

AU - Kalyuzhnaya, Anna

PY - 2020

PB - Springer International Publishing

SP - 86-100

SN - 0302-9743

SN - 1611-3349

SN - 9783030504168

SN - 9783030504175

ER -

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@incollection{Maslyaev_2020,

doi = {10.1007/978-3-030-50417-5_7},

url = {https://doi.org/10.1007%2F978-3-030-50417-5_7},

year = 2020,

publisher = {Springer International Publishing},

pages = {86--100},

author = {Mikhail Maslyaev and Alexander Hvatov and Anna Kalyuzhnaya},

title = {Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data},

booktitle = {Lecture Notes in Computer Science}

}

MLA
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Maslyaev, Mikhail, et al. “Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-Dimensional Data.” Computational Science – ICCS 2020, 2020, pp. 86–100. Crossref, https://doi.org/10.1007/978-3-030-50417-5_7.