Design of an Iterative Dual Metaheuristic VARMAx Model Enhancing Efficiency of Time Series Predictions

Traditional methods, while effective to a degree, often grapple with limitations such as reduced accuracy, specificity, and higher prediction delays, particularly in high-stakes fields like stock market analysis, forest cover monitoring, and medical disease prediction. To address these shortcomings,...

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Autori principali:	Yuvaraja Boddu, A. Manimaran, B. Arunkumar, D. Ramkumar
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2024-01-01
Serie:	IEEE Access
Soggetti:	Time series prediction metaheuristic algorithms VARMAx model grey wolf optimizer coot optimization algorithm scenarios
Accesso online:	https://ieeexplore.ieee.org/document/10664579/
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