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浏览/检索结果: 共7条，第1-7条 帮助 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 Seasonal and trend forecasting of tourist arrivals: An adaptive multiscale ensemble learning approach 期刊论文 INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2022, 页码: 18 作者:  Xing, Guangyuan;  Sun, Shaolong;  Bi, Dan;  Guo, Ju-e;  Wang, Shouyang 收藏  |  浏览/下载：287/0  |  提交时间：2022/04/02 ensemble learning  least square support vector regression  seasonality  tourism demand forecasting  variational mode decomposition   A secondary-decomposition-ensemble learning paradigm for forecasting PM2.5 concentration 期刊论文 ATMOSPHERIC POLLUTION RESEARCH, 2018, 卷号: 9, 期号: 6, 页码: 989-999 作者:  Gan, Kai;  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie 收藏  |  浏览/下载：47/0  |  提交时间：2018/11/16 Secondary-decomposition-ensemble learning paradigm  Complementary ensemble empirical mode decomposition  Phase space reconstruction  Least square support vector regression  Hybrid intelligent algorithm   A decomposition-clustering-ensemble learning approach for solar radiation forecasting 期刊论文 SOLAR ENERGY, 2018, 卷号: 163, 页码: 189-199 作者:  Sun, Shaolong;  Wang, Shouyang;  Zhang, Guowei;  Zheng, Jiali 收藏  |  浏览/下载：35/0  |  提交时间：2018/07/30 Solar radiation forecasting  Decomposition-clustering-ensemble learning approach  Ensemble empirical mode decomposition  Least square support vector regression   Ensemble Learning Multiple LSSVR With Improved Harmony Search Algorithm for Short-Term Traffic Flow Forecasting 期刊论文 IEEE ACCESS, 2018, 卷号: 6, 页码: 9347-9357 作者:  Chen, Xiaobo[1];  Cai, Xinwen[2];  Liang, Jun[3];  Liu, Qingchao[4] 收藏  |  浏览/下载：10/0  |  提交时间：2019/12/24 Intelligent transportation  harmony search  short-term traffic flow prediction  support vector machine   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：28/0  |  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: 6542-6554 作者:  Wang, Shuai;  Yu, Lean;  Tang, Ling;  Wang, Shouyang 收藏  |  浏览/下载：18/0  |  提交时间：2018/07/30 Hydropower consumption forecasting  LSSVR ensemble Learning  Seasonal 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：13/0  |  提交时间：2012/11/12 Hydropower Consumption Forecasting  Lssvr Ensemble Learning  Seasonal Decomposition