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The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm
Research article (Annals of Operations Research, 2020) · cited 105× · AI/ML
The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm
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The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm is a scholarly article[1].
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APA4ort.xyz Knowledge Graph. (2026). The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-two-stage-machine-learning-ensemble-models-for-stock-price-prediction-by-combining-mode-decomposition-extreme-learni
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BibTeX@misc{4ortxyz_the-two-stage-machine-learning-ensemble-models-for-stock-price-prediction-by-combining-mode-decomposition-extreme-learni_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/the-two-stage-machine-learning-ensemble-models-for-stock-price-prediction-by-combining-mode-decomposition-extreme-learni}, note = {Accessed: 2026-05-24}}
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