A review on the combination of autoregressive forecasting models in multiple time series
سال انتشار: 1400
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 357
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شناسه ملی سند علمی:
RMIECONF08_003
تاریخ نمایه سازی: 11 شهریور 1400
چکیده مقاله:
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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نویسندگان
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