MATEC Web Conf.
Volume 170, 2018International Science Conference SPbWOSCE-2017 “Business Technologies for Sustainable Urban Development”
|Number of page(s)
|Municipal Facilities Management. Business Activity Management in Construction. Process Reengineering and Information Systems
|13 June 2018
Interval approach of time series forecasting by neural networks for the decision support system
Peter the Great St.Petersburg Polytechnic University, Polytechnicheskaya, 29, St. Petersburg, 195251, Russia
* Corresponding author: email@example.com
The article is devoted to the new method of preparation of time series data and its prediction made by neural networks. A detailed analysis of the methodology and comparison of the results with ARIMA method carried out. A full table of initial data and forecasting results for the export of goods and services for 2021 accompanies the article.
© The Authors, published by EDP Sciences, 2018
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. (http://creativecommons.org/licenses/by/4.0/).
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