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Improved CEEMDAN, GA, and SVR Model for Oil Price Forecasting

Accurate prediction of crude oil prices (COPs) is a challenge for academia and industry. Therefore, the present research developed a new CEEMDAN-GA-SVR hybrid model to predict COPs, incorporating complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), a genetic algorithm (GA),...

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Detalles Bibliográficos
Autores principales:	Lu, Yichun, Luo, Junyin, Cui, Yiwen, He, Zhengbin, Xia, Fengchun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252654/ https://www.ncbi.nlm.nih.gov/pubmed/35795536 http://dx.doi.org/10.1155/2022/3741370

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