中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共3条，第1-3条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
A New Hybrid VMD-ICSS-BiGRU Approach for Gold Futures Price Forecasting and Algorithmic Trading 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 卷号: 8, 期号: 6, 页码: 1357-1368
作者:  Li, Yuze;  Wang, Shouyang;  Wei, Yunjie;  Zhu, Qing
收藏  |  浏览/下载：111/0  |  提交时间：2022/04/02
Gold  Forecasting  Autoregressive processes  Predictive models  Signal resolution  Deep learning  Mathematical model  Algorithmic trading  bidirectional gated recurrent unit (BiGRU)  gold futures price forecasting  variational mode decomposition (VMD)  
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：116/0  |  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  
Tourism demand forecasting: An ensemble deep learning approach 期刊论文
TOURISM ECONOMICS, 2021, 页码: 29
作者:  Sun, Shaolong;  Li, Yanzhao;  Guo, Ju-e;  Wang, Shouyang
收藏  |  浏览/下载：117/0  |  提交时间：2021/10/26
bagging  economic variables  ensemble deep learning  search intensity index  stacked autoencoder  tourism demand forecasting