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Dergiler / Hacettepe Journal of Mathematics and Statistics / 2019 / Cilt: 48 - Sayı: 6

ATA Method

Güçkan Yapar
Hanife Taylan Selamlar
Sedat Capar
İdil Yavuz
Sayfa
1838–1844
Yayın Tarihi
2022-10-18
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Using the results from the M3-competition, the forecasting performance of this method will be compared to not only these two major approaches but also to other successful methods derived from these two approaches with respect to simplicity and cost in addition to accuracy.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In this study, the forecasting accuracy of a new forecasting method that is alternative to two major forecasting approaches: exponential smoothing (ES) and ARIMA, will be evaluated.
📊
Temel Bulgular & Veri:In this study, the forecasting accuracy of a new forecasting method that is alternative to two major forecasting approaches: exponential smoothing (ES) and ARIMA, will be evaluated.
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Sonuç & Katkı:Using the results from the M3-competition, the forecasting performance of this method will be compared to not only these two major approaches but also to other successful methods derived from these two approaches with respect to simplicity and cost in addition to accuracy.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Exponential smoothing · Forecasting · Initial value

Abstract

In this study, the forecasting accuracy of a new forecasting method that is alternative to two major forecasting approaches: exponential smoothing (ES) and ARIMA, will be evaluated. Using the results from the M3-competition, the forecasting performance of this method will be compared to not only these two major approaches but also to other successful methods derived from these two approaches with respect to simplicity and cost in addition to accuracy.

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Bu Makaleye Atıf Yap

Yapar, G., Selamlar, H. T., Capar, S., Yavuz, İ. (2022). ATA Method. Hacettepe Journal of Mathematics and Statistics, Cilt: 48 - Sayı: 6, 1838–1844. https://ajindex.com/articles/530146

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Kaynakça (19)

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