2022
DOI: 10.1016/j.dsp.2022.103567
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Depth feature extraction-based deep ensemble learning framework for high frequency futures price forecasting

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Cited by 4 publications
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“…Due to the fact that VMD has a solid mathematical theory foundation, it can decompose signals more accurately, and has good anti-noise performance and high operating efficiency. VMD has achieved great success in wind power prediction [38], wind speed prediction [39], and price prediction [40].…”
Section: Introductionmentioning
confidence: 99%
“…Due to the fact that VMD has a solid mathematical theory foundation, it can decompose signals more accurately, and has good anti-noise performance and high operating efficiency. VMD has achieved great success in wind power prediction [38], wind speed prediction [39], and price prediction [40].…”
Section: Introductionmentioning
confidence: 99%