Interval approach of time series forecasting by neural networks for the decision support system

被引：0

作者：

Dubolazov, Victor ^{[1
]}

Somov, Andrei ^{[1
]}

机构：

[1] Peter Great St Petersburg Polytech Univ, Polytech Skaya 29, St Petersburg 195251, Russia

来源：

INTERNATIONAL SCIENCE CONFERENCE SPBWOSCE-2017 BUSINESS TECHNOLOGIES FOR SUSTAINABLE URBAN DEVELOPMENT | 2018年 / 170卷

关键词：

D O I：

10.1051/matecconf/201817001014

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页数：8

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