Sustainable development of regional enterprises based on the neural network profit forecasting model

DOI

10.2991/cssdre-18.2018.25How to use a DOI?

Keywords

artificial intelligence, sustainable development, system element, profit forecast, perceptron, digital economy

Abstract

The article focuses on solving the problem of sustainable development of regions based on the application of artificial intelligence (AI). In the condition of transition to digital economy, the use of the innovation vector is of special significance, e.g. the sustainable development of regions based on the application of big data processing for the purpose of achieving profitable operation of enterprises. Although forecasting corporate profit in the situation of market uncertainty is of great importance, research shows that this area has not been studied sufficiently in scientific literature. A hypothesis has been proposed and validated that it is possible to develop a Rosneft profit forecast with a margin of error of no more than 5% by using the Perceptron neural network. The developed neural network used is a two-layer perceptron with one hidden layer intended for Rosneft’s next year profit forecast. The input layer of the neural network structure includes a number of parameters, such as the American S&P500 Index, USD rate, BRENT oil price, Rosneft share price ??" Pros, Gazprom share price ??" Pgasp, and Rosneft profit ??" PROFITros. The output layer of the model has only one parameter ??" Rosneft forecast profit PROFITros(prog).

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Nikolai Lomakin
AU  - Ekaterina Kharlamova
AU  - Alena Polyanskaya
PY  - 2018/05
DA  - 2018/05
TI  - Sustainable development of regional enterprises based on the neural network profit forecasting model
BT  - Proceedings of the International Scientific Conference "Competitive, Sustainable and Secure Development of the Regional Economy: Response to Global Challenges" (CSSDRE 2018)
PB  - Atlantis Press
SP  - 113
EP  - 116
SN  - 2352-5428
UR  - https://doi.org/10.2991/cssdre-18.2018.25
DO  - 10.2991/cssdre-18.2018.25
ID  - Lomakin2018/05
ER  -