中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共5条，第1-5条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Forecasting daily tourism volume: a hybrid approach with CEMMDAN and multi-kernel adaptive ensemble 期刊论文
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：169/0  |  提交时间：2022/04/29
Daily tourism volume forecasting  decomposition ensemble approach  sample entropy  kernel extreme learning machine  multi-kernel adaptive strategy  
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：121/0  |  提交时间：2022/04/02
ensemble learning  least square support vector regression  seasonality  tourism demand forecasting  variational mode decomposition  
An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting 期刊论文
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：118/0  |  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  
Air pollution forecasting with multivariate interval decomposition ensemble approach 期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 12, 页码: 14
作者:  Dong, Yawei;  Zhang, Chengyuan;  Niu, Mingfei;  Wang, Shouyang;  Sun, Shaolong
收藏  |  浏览/下载：114/0  |  提交时间：2022/04/02
Daily PM 10 concentration forecast  Air quality  Interval forecasting  Noise-assisted multivariate empirical mode  decomposition  Maximum mutual information  
Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method 期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15
作者:  Jiang, Fuxin;  Zhang, Chengyuan;  Sun, Shaolong;  Sun, Jingyun
收藏  |  浏览/下载：117/0  |  提交时间：2022/04/29
PM2.5 concentration forecasting  Complete ensemble empirical mode  decomposition with adaptive noise  Temporal convolutional  Data patterns  Deep learning