机构

• 数学与系统科学研究院 [4]
• 寒区旱区环境与工程研... [1]

采集方式

• OAI收割 [4]
• iSwitch采集 [1]

内容类型

• 期刊论文 [5]

发表日期

• 2022 [2]
• 2021 [1]
• 2018 [1]
• 2016 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Forecasting daily tourism volume: a hybrid approach with CEMMDAN and multi-kernel adaptive ensemble 期刊论文  OAI收割 CURRENT ISSUES IN TOURISM, 2022, 页码: 20 作者:  Zhao, Erlong;  Du, Pei;  Azaglo, Ernest Young;  Wang, Shouyang;  Sun, Shaolong   |  收藏  |  浏览/下载：43/0  |  提交时间：2022/04/29 Daily tourism volume forecasting  decomposition ensemble approach  sample entropy  kernel extreme learning machine  multi-kernel adaptive strategy   An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting 期刊论文  OAI收割 APPLIED ENERGY, 2022, 卷号: 306, 页码: 16 作者:  Yang, Dongchuan;  Guo, Ju-E;  Sun, Shaolong;  Han, Jing;  Wang, Shouyang   |  收藏  |  浏览/下载：62/0  |  提交时间：2022/04/02 Short-term load forecasting  Bivariate empirical mode decomposition  Decomposition-ensemble approach  Reconstruction  Bayesian optimization  Long short-term memory network   A new decomposition ensemble approach for tourism demand forecasting: Evidence from major source countries in Asia-Pacific region 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2021, 页码: 14 作者:  Zhang, Chengyuan;  Jiang, Fuxin;  Wang, Shouyang;  Sun, Shaolong   |  收藏  |  浏览/下载：29/0  |  提交时间：2021/04/26 artificial intelligence  Asia‐  Pacific region  decomposition ensemble approach  NA‐  MEMD  tourism demand forecasting   A decomposition-clustering-ensemble learning approach for solar radiation forecasting 期刊论文  OAI收割 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：41/0  |  提交时间：2018/07/30 Solar radiation forecasting  Decomposition-clustering-ensemble learning approach  Ensemble empirical mode decomposition  Least square support vector regression   A New Hybrid Forecasting Approach Applied to Hydrological Data: A Case Study on Precipitation in Northwestern China 期刊论文  iSwitch采集 WATER, 2016, 卷号: 8, 期号: 9, 页码: 15 作者:  Jiao, Guimei;  Guo, Tianlin;  Ding, Yongjian 收藏  |  浏览/下载：51/0  |  提交时间：2019/10/09 ensemble empirical mode decomposition  radial basis function neural networks  support vector machine  hybrid approach  precipitation prediction