1. 基于多阶段聚类的 PM2.5 质量浓度预测及对比研究.
- Author
-
金宇凯, 李志生, 欧耀春, 张华刚, 曾江毅, and 陈搏超
- Subjects
AIR quality monitoring stations ,PREDICTION models ,GAUSSIAN mixture models ,DEEP learning - Abstract
Copyright of Journal of Guangdong University of Technology is the property of Journal of Guangdong University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
- View/download PDF