Optimal Adaptive Neuro-Fuzzy Inference System Architecture for Time Series Forecasting with Calendar Effect

Optimal Adaptive Neuro-Fuzzy Inference System Architecture for Time Series Forecasting with Calendar Effect

This paper discusses a procedure for model selection in ANFIS for time series forecasting with a calendar effect. Calendar effect is different from the usual trend and seasonal effects. Therefore, when it occurs, it will affect economic activity during that period and create new patterns that will r...

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Detaylı Bibliyografya
Asıl Yazarlar: Hendikawati, Putriaji, Subanar, Subanar, Abdurakhman, Abdurakhman, Tarno, Tarno
Materyal Türü: Other
Dil:English
Baskı/Yayın Bilgisi: Sains Malaysiana 2022
Konular:
Statistics
Online Erişim:https://repository.ugm.ac.id/283983/1/119.Optimal-Adaptive-NeuroFuzzy-Inference-System-Architecture-for-Time-Series-Forecasting-with-Calendar-EffectSains-Malaysiana.pdf

Internet

https://repository.ugm.ac.id/283983/1/119.Optimal-Adaptive-NeuroFuzzy-Inference-System-Architecture-for-Time-Series-Forecasting-with-Calendar-EffectSains-Malaysiana.pdf

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