[机器学习在空气污染研究中的综述]
Tong Sha1, Liang-Qing Li1, Shu-Qi Yan2
1College of Environmental Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
Huan jing ke xue= Huanjing kexue
|June 29, 2025
概括
机器学习通过分析复杂的数据来增强空气质量研究,以更好地预测污染和识别模式. 未来的工作将将人工智能与传统模型相结合,以改善空气质量管理和政策决策.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 大气科学 大气科学
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