Effective machine learning model combination based on selective ensemble strategy for time series forecasting

Sheng-Xiang Lv; Lu Peng; Huanling Hu; Lin Wang

doi:10.1016/j.ins.2022.09.002

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Effective machine learning model combination based on selective ensemble strategy for time series forecasting

Sheng-Xiang Lv Lu Peng Huanling Hu Lin Wang

Year: 2022 Journal: Information Sciences Vol: 612 Pages: 994-1023 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2022.09.002

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Keywords:

Computer science Machine learning Ensemble forecasting Ensemble learning Random forest Artificial intelligence Artificial neural network Boosting (machine learning) Support vector machine Decision tree Time series Gradient boosting Model selection Series (stratigraphy) Data mining

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Forecasting Techniques and Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Market Dynamics and Volatility

Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics

Effective machine learning model combination based on selective ensemble strategy for time series forecasting

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