High variation subarctic topsoil pollutant concentration prediction using neural network residual kriging

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Original languageEnglish
Title of host publicationApplied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science
PublisherAmerican Institute of Physics Inc.
Volume1836
ISBN (Electronic)9780735415065
DOIs
Publication statusPublished - 5 Jun 2017
Event1st International Conference on Applied Mathematics and Computer Science, ICAMCS 2017 - Rome, Italy
Duration: 27 Jan 201729 Jan 2017

Conference

Conference1st International Conference on Applied Mathematics and Computer Science, ICAMCS 2017
CountryItaly
CityRome
Period27/01/201729/01/2017

Fingerprint

kriging
contaminants
predictions
regression analysis
self organizing systems
Russian Federation
productivity
interpolation
chromium
soils
contamination
education
screening
computerized simulation
optimization

Keywords

  • Artificial Neural Networks
  • Chromium
  • GRNNRK
  • MLPRK
  • Pollution
  • Residual kriging

ASJC Scopus subject areas

  • Physics and Astronomy(all)

WoS ResearchAreas Categories

  • Computer Science, Interdisciplinary Applications
  • Mathematics, Applied
  • Physics, Applied

Cite this

Sergeev, A. P., Tarasov, D. A., Buevich, A. G., Subbotina, I. E., Shichkin, A. V., Sergeeva, M. V., & Lvova, O. A. (2017). High variation subarctic topsoil pollutant concentration prediction using neural network residual kriging. In Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science (Vol. 1836). [020023] American Institute of Physics Inc.. https://doi.org/10.1063/1.4981963
Sergeev, A. P. ; Tarasov, D. A. ; Buevich, Alexander G. ; Subbotina, I. E. ; Shichkin, A. V. ; Sergeeva, Marina V. ; Lvova, O. A. / High variation subarctic topsoil pollutant concentration prediction using neural network residual kriging. Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. Vol. 1836 American Institute of Physics Inc., 2017.
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title = "High variation subarctic topsoil pollutant concentration prediction using neural network residual kriging",
keywords = "Artificial Neural Networks, Chromium, GRNNRK, MLPRK, Pollution, Residual kriging",
author = "Sergeev, {A. P.} and Tarasov, {D. A.} and Buevich, {Alexander G.} and Subbotina, {I. E.} and Shichkin, {A. V.} and Sergeeva, {Marina V.} and Lvova, {O. A.}",
year = "2017",
month = "6",
day = "5",
doi = "10.1063/1.4981963",
language = "English",
volume = "1836",
booktitle = "Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science",
publisher = "American Institute of Physics Inc.",
address = "United States",

}

Sergeev, AP, Tarasov, DA, Buevich, AG, Subbotina, IE, Shichkin, AV, Sergeeva, MV & Lvova, OA 2017, High variation subarctic topsoil pollutant concentration prediction using neural network residual kriging. in Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. vol. 1836, 020023, American Institute of Physics Inc., 1st International Conference on Applied Mathematics and Computer Science, ICAMCS 2017, Rome, Italy, 27/01/2017. https://doi.org/10.1063/1.4981963

High variation subarctic topsoil pollutant concentration prediction using neural network residual kriging. / Sergeev, A. P.; Tarasov, D. A.; Buevich, Alexander G.; Subbotina, I. E.; Shichkin, A. V.; Sergeeva, Marina V.; Lvova, O. A.

Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. Vol. 1836 American Institute of Physics Inc., 2017. 020023.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

TY - GEN

T1 - High variation subarctic topsoil pollutant concentration prediction using neural network residual kriging

AU - Sergeev, A. P.

AU - Tarasov, D. A.

AU - Buevich, Alexander G.

AU - Subbotina, I. E.

AU - Shichkin, A. V.

AU - Sergeeva, Marina V.

AU - Lvova, O. A.

PY - 2017/6/5

Y1 - 2017/6/5

KW - Artificial Neural Networks

KW - Chromium

KW - GRNNRK

KW - MLPRK

KW - Pollution

KW - Residual kriging

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U2 - 10.1063/1.4981963

DO - 10.1063/1.4981963

M3 - Conference contribution

VL - 1836

BT - Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science

PB - American Institute of Physics Inc.

ER -

Sergeev AP, Tarasov DA, Buevich AG, Subbotina IE, Shichkin AV, Sergeeva MV et al. High variation subarctic topsoil pollutant concentration prediction using neural network residual kriging. In Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. Vol. 1836. American Institute of Physics Inc. 2017. 020023 https://doi.org/10.1063/1.4981963