Neural network model as a way of processing complex systems of econometric equations characterizing the interaction of the Russian Arctic

This article analyses the possibility of applying neural network modeling for the purpose of automation of a large number of calculations of econometric equations coefficients in order to obtain adequate predictive results.

Bibliographic Details
Published in:MATEC Web of Conferences
Main Author: Antipov Sergey
Format: Article in Journal/Newspaper
Language:English
French
Published: EDP Sciences 2018
Subjects:
Engineering (General). Civil engineering (General)
TA1-2040
Arctic
Online Access:https://doi.org/10.1051/matecconf/201817001025
https://doaj.org/article/eeba6e8710a647e28b90777a3d6ec737
Description
Summary:This article analyses the possibility of applying neural network modeling for the purpose of automation of a large number of calculations of econometric equations coefficients in order to obtain adequate predictive results.

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