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Chromium distribution forecasting in subarctic noyabrsk using cokriging, generalized regression neural network, multilayer perceptron, and hybrid technique
Research output
:
Contribution to journal
›
Conference article
›
peer-review
Institute of Radioelectronics and Information Technology
Institute of New Materials and Technologies
Institute of Physics and Technology
Faculty of Information Technology and Automatics
Department of Metallurgical Science
Department of Technical Physics
Academic and Research Laboratory of Neurotechnologies
Ural Institute of Humanities
Overview
Cite this
Alexander G. Buevich
Alexander P. Sergeev
Andrey V. Shichkin
Alexandra I. Kosachenko
Anastasia S. Moskaleva
Original language
English
Pages (from-to)
39-48
Number of pages
10
Journal
CEUR Workshop Proceedings
Volume
2076
Publication status
Published -
1 Jan 2018
ASJC Scopus subject areas
Computer Science(all)
Research areas
Artificial Neural Networks, Chromium, Cokriging, GRNNRK, MLPRK, Residual kriging
ID: 7141971