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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Hlavní autoři:	Yuvaraja Boddu, A. Manimaran, B. Arunkumar, D. Ramkumar
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Access
Témata:	Time series prediction metaheuristic algorithms VARMAx model grey wolf optimizer coot optimization algorithm scenarios
On-line přístup:	https://ieeexplore.ieee.org/document/10664579/
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