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

Результат исследований: Глава в книге, отчете, сборнике статейМатериалы конференцииНаучно-исследовательскаярецензирование

Язык оригиналаАнглийский
Название основной публикацииMathematical Methods and Computational Techniques in Science and Engineering II
ИздательAmerican Institute of Physics Inc.
Том1982
ISBN (электронное издание)9780735416987
DOI
СостояниеОпубликовано - 27 июл 2018
Событие2nd International Conference on Mathematical Methods and Computational Techniques in Science and Engineering - Cambridge, Великобритания
Продолжительность: 15 фев 201817 фев 2018

Конференция

Конференция2nd International Conference on Mathematical Methods and Computational Techniques in Science and Engineering
СтранаВеликобритания
ГородCambridge
Период15/02/201817/02/2018

Отпечаток

self organizing systems
forecasting
impurities
chromium
soils
copper
chemical elements
Russian Federation
spatial distribution
screening

Предметные области ASJC Scopus

  • Physics and Astronomy(all)

Предметные области WoS

  • Математика, Прикладная
  • Физика, Прикладная

Цитировать

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 Mathematical Methods and Computational Techniques in Science and Engineering II (Том 1982). [020005] American Institute of Physics Inc.. https://doi.org/10.1063/1.5045411
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. Том 1982 American Institute of Physics Inc., 2018.
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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 Mathematical Methods and Computational Techniques in Science and Engineering II. том. 1982, 020005, 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

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. Том 1982 American Institute of Physics Inc., 2018. 020005.

Результат исследований: Глава в книге, отчете, сборнике статейМатериалы конференцииНаучно-исследовательскаярецензирование

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Shichkin AV, Buevich AG, Sergeev AP. Comparison of artificial neural network, random forest and random perceptron forest for forecasting the spatial impurity distribution. В Mathematical Methods and Computational Techniques in Science and Engineering II. Том 1982. American Institute of Physics Inc. 2018. 020005 https://doi.org/10.1063/1.5045411