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...

Celý popis

Podrobná bibliografie
Hlavní autoři: Hendikawati, Putriaji, Subanar, Subanar, Abdurakhman, Abdurakhman, Tarno, Tarno
Médium: Other
Jazyk:English
Vydáno: Sains Malaysiana 2022
Témata:
Statistics
On-line přístup: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

Podobné jednotky