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Comparison of artificial neural network, random forest and random perceptron forest for forecasting the spatial impurity distribution. / Shichkin, Andrey V.; Buevich, Alexander G.; Sergeev, Alexander P.
Mathematical Methods and Computational Techniques in Science and Engineering II. ред. / N Bardis. Том 1982 American Institute of Physics Inc., 2018. 020005 (AIP Conference Proceedings; Том 1982).

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Harvard

Shichkin, AV, Buevich, AG & Sergeev, AP 2018, Comparison of artificial neural network, random forest and random perceptron forest for forecasting the spatial impurity distribution. в N Bardis (ред.), Mathematical Methods and Computational Techniques in Science and Engineering II. Том. 1982, 020005, AIP Conference Proceedings, Том. 1982, American Institute of Physics Inc., 2nd International Conference on Mathematical Methods and Computational Techniques in Science and Engineering, Cambridge, Великобритания, 15/02/2018. https://doi.org/10.1063/1.5045411

APA

Shichkin, A. V., Buevich, A. G., & Sergeev, A. P. (2018). Comparison of artificial neural network, random forest and random perceptron forest for forecasting the spatial impurity distribution. в N. Bardis (Ред.), Mathematical Methods and Computational Techniques in Science and Engineering II (Том 1982). [020005] (AIP Conference Proceedings; Том 1982). American Institute of Physics Inc.. https://doi.org/10.1063/1.5045411

Vancouver

Shichkin AV, Buevich AG, Sergeev AP. Comparison of artificial neural network, random forest and random perceptron forest for forecasting the spatial impurity distribution. в Bardis N, Редактор, Mathematical Methods and Computational Techniques in Science and Engineering II. Том 1982. American Institute of Physics Inc. 2018. 020005. (AIP Conference Proceedings). doi: 10.1063/1.5045411

Author

Shichkin, Andrey V. ; Buevich, Alexander G. ; Sergeev, Alexander P. / Comparison of artificial neural network, random forest and random perceptron forest for forecasting the spatial impurity distribution. Mathematical Methods and Computational Techniques in Science and Engineering II. Редактор / N Bardis. Том 1982 American Institute of Physics Inc., 2018. (AIP Conference Proceedings).

BibTeX

@inproceedings{1e1a82197fce4858867de00297a9b8f8,
title = "Comparison of artificial neural network, random forest and random perceptron forest for forecasting the spatial impurity distribution",
keywords = "ORGANIC-CARBON STOCKS, REGRESSION, MODEL",
author = "Shichkin, {Andrey V.} and Buevich, {Alexander G.} and Sergeev, {Alexander P.}",
year = "2018",
month = jul,
day = "27",
doi = "10.1063/1.5045411",
language = "English",
volume = "1982",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "N Bardis",
booktitle = "Mathematical Methods and Computational Techniques in Science and Engineering II",
address = "United States",
note = "2nd International Conference on Mathematical Methods and Computational Techniques in Science and Engineering ; Conference date: 15-02-2018 Through 17-02-2018",

}

RIS

TY - GEN

T1 - Comparison of artificial neural network, random forest and random perceptron forest for forecasting the spatial impurity distribution

AU - Shichkin, Andrey V.

AU - Buevich, Alexander G.

AU - Sergeev, Alexander P.

PY - 2018/7/27

Y1 - 2018/7/27

KW - ORGANIC-CARBON STOCKS

KW - REGRESSION

KW - MODEL

UR - http://www.scopus.com/inward/record.url?scp=85051121152&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000447848800005

UR - https://elibrary.ru/item.asp?id=35712930

U2 - 10.1063/1.5045411

DO - 10.1063/1.5045411

M3 - Conference contribution

AN - SCOPUS:85051121152

VL - 1982

T3 - AIP Conference Proceedings

BT - Mathematical Methods and Computational Techniques in Science and Engineering II

A2 - Bardis, N

PB - American Institute of Physics Inc.

T2 - 2nd International Conference on Mathematical Methods and Computational Techniques in Science and Engineering

Y2 - 15 February 2018 through 17 February 2018

ER -

ID: 7763378