Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/102642
Title: Machine learning application for magnetohydrodynamic pump research
Authors: Tarchutkin, N. V.
Smolyanov, I. A.
Issue Date: 2020
Publisher: IOP Publishing Ltd
Citation: Tarchutkin N. V. Machine learning application for magnetohydrodynamic pump research / N. V. Tarchutkin, I. A. Smolyanov. — DOI 10.1088/1757-899X/950/1/012019 // IOP Conference Series: Materials Science and Engineering. — 2020. — Vol. 950. — Iss. 1. — 012019.
Abstract: The article is devoted to finding out best machine learning model used for the analysis of magnetohydrodynamic pump. The machine learning model was created on the basis of data obtained as a result of numerical simulation of the unit using COMSOL Multiphysics. The paper compares errors of output data collected by using various machine learning methods for out-of-sample data. © Published under licence by IOP Publishing Ltd.
URI: http://hdl.handle.net/10995/102642
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85096554364
PURE ID: 20230620
264decb6-d165-4285-8db8-2acf6a3e4bf8
ISSN: 17578981
DOI: 10.1088/1757-899X/950/1/012019
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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