| Issue |
SHS Web Conf.
Volume 93, 2021
3rd International Scientific Conference on New Industrialization and Digitalization (NID 2020)
|
|
|---|---|---|
| Article Number | 02005 | |
| Number of page(s) | 9 | |
| Section | Financial and Legal Mechanisms (Instruments) of Industrialization and Digitalization | |
| DOI | https://doi.org/10.1051/shsconf/20219302005 | |
| Published online | 12 January 2021 | |
Artificial Neural Networks in Inflation Forecasting at the Meso-Level
1 Ivanovo state University of chemistry and technology, 153000 Ivanovo, Russia
2 National Research University "Higher School of Economics", 101000 Moscow, Russia
* Corresponding author: i.astrakhantseva@mail.ru
The aim of the article is to analyze inflation factors and their influence on the consumer price index in the regions. The article discusses the existing mathematical models for the forecasting of the regional inflation rate as an important national measure. Advantages, disadvantages and application fields of these models are presented. The appropriateness of recurrent neural network use for regional inflation forecasting is demonstrated. The article describes the process of neural network architecture creation, its training, inflation parameter forecasting.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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