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Paper
Title

A review on the combination of autoregressive forecasting models in multiple time series

هشتمین کنفرانس بین المللی پیشرفت های اخیر در مدیریت و مهندسی صنایع
Year: 1400
COI: RMIECONF08_003
Language: EnglishView: 151
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Authors

Saeid Azanchilar - Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran
Seyed Mohammad Taghi Fatemi Ghomi - Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran

Abstract:

In the recent years, hybrid strategies have received much attentionbecause they reduce the potential errors due to forecasting and achievegood performance. As the use of these strategies and neural networks topredict large and voluminous data has been extended, there ischallenges of their simultaneous application. M۴ forecastingcompetition, which has been implemented in recent studies, is thecontinuation of the three previous matches. This began more than ۴۵years ago and aimed to learn how to improve foresight and use suchlearning to advance theory and practice and indicate the superiority offorecasting methods over each other. This paper first reviews severalresearches related to forecasting strategies from ۲۰۱۸ and reviewsseveral articles associated with the M۴ forecasting competition.

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This Paper COI Code is RMIECONF08_003. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

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Azanchilar, Saeid and Fatemi Ghomi, Seyed Mohammad Taghi,1400,A review on the combination of autoregressive forecasting models in multiple time series,8th International Conference on Recent Advances in Industrial Management and Engineering,Tehran,https://civilica.com/doc/1263761

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Paper count: 22,251
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