Optimal selection of heterogeneous ensemble strategies of time series forecasting with multi-objective programming

Expert Systems with Applications(2021)

引用 43|浏览54
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摘要
•A heterogeneous ensemble forecasting model of nonlinear time series is proposed.•Both forecasting error and model divergence are considered.•Dynamic heterogeneous mutation operator is introduced to improve MOPSO.•The proposed model has excellent prediction performance and robustness.
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关键词
Multi-objective optimization,Ensemble forecasting,Machine learning,Evolutionary algorithm,Baltic Dry Index
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