Neural networks are toolbox in the provision of management accounting

Authors

  • Светлана Викторовна Булгакова Voronezh State University image/svg+xml
  • Константин Викторович Семенов Voronezh State University image/svg+xml

DOI:

https://doi.org/10.17308/meps.2017.4/1659

Keywords:

management accounting, artificial neural networks

Abstract

Purpose:  the authors developed the algorithm for forecasting the demand and sales volume of certain types of products and assortment groups of goods in the management accounting system of the economic entity with the use apparatus of artificial neural networks. The writers calculated the optimal values of volume indicators and proceeds from sales in the expanded range of goods with the use artificial neural networks. Discussion: the authors determine the relevance of the practical use of artificial neural networks in solving managerial accounting problems. The artificial neural networks have properties prediction, associative memory, reproduction of complex dependencies. The practical use of artificial neural networks makes it possible to expand the toolbox in the provision of management accounting with the use not only quantitative methods of economics and management, but modern computer systems and information technologies, in particular, artificial neural networks. Results: the authors developed the forecast of demand, volume of sales for activity segments of network organizational management structure with the use of the apparatus of artificial neural networks. The writers determined the optimal values of sales volume and revenue for the expanded range of goods on the basis of the artificial neural network. The authors proved the possibility of expanding the toolbox the provision of managerial accounting of an economic entity through the introduction of artificial neural networks.

References

Published

2017-05-05

Issue

Section

Accounting

How to Cite

Neural networks are toolbox in the provision of management accounting. (2017). Modern Economics: Problems and Solutions, 4. https://doi.org/10.17308/meps.2017.4/1659