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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：科技战略咨询研究院    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A dynamic ensemble learning with multi-objective optimization for oil prices prediction 期刊论文 RESOURCES POLICY, 2022, 卷号: 79 作者:  Hao, Jun;  Feng, Qianqian;  Yuan, Jiaxin;  Sun, Xiaolei;  Li, Jianping 收藏  |  浏览/下载：6/0  |  提交时间：2023/05/30 Ensemble forecasting  Dynamic ensemble  Time-varying weight  Oil price forecasting  Multi-objective optimization   Optimal selection of heterogeneous ensemble strategies of time series forecasting with multi-objective programming 期刊论文 Expert Systems with Applications, 2020, 期号: 166, 页码: 114091 作者:  Jianping Li;  Jun Hao;  Qianqian Feng;  Xiaolei Sun;  Mingxi Liu 收藏  |  浏览/下载：171/0  |  提交时间：2021/01/26 Multi-objective optimization  Ensemble forecasting  Machine learning  Evolutionary algorithm  Baltic Dry Index   A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm 期刊论文 ENERGIES, 2020, 卷号: 13 作者:  Hao, Jun;  Sun, Xiaolei;  Feng, Qianqian 收藏  |  浏览/下载：5/0  |  提交时间：2021/01/16 A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting 期刊论文 APPLIED ENERGY, 2012, 卷号: 93, 期号: 1, 页码: 12,432-443 Tang, L; Yu, LA; Wang, S; Li, JP; Wang, SY 收藏  |  浏览/下载：27/0  |  提交时间：2012/11/12 Nuclear energy consumption forecasting  Hybrid ensemble learning paradigm  Ensemble empirical mode decomposition   A novel seasonal decomposition based least squares support vector regression ensemble learning approach for hydropower consumption forecasting in China 期刊论文 ENERGY, 2011, 卷号: 36, 期号: 11, 页码: 13,6542-6554 作者:  Wang, S;  Yu, L;  Tang, L;  Wang, SY 收藏  |  浏览/下载：12/0  |  提交时间：2012/11/12 Hydropower Consumption Forecasting  Lssvr Ensemble Learning  Seasonal Decomposition