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/).
Cite this article
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 -