| Issue |
E3S Web Conf.
Volume 245, 2021
2021 5th International Conference on Advances in Energy, Environment and Chemical Science (AEECS 2021)
|
|
|---|---|---|
| Article Number | 02001 | |
| Number of page(s) | 4 | |
| Section | Environmental Resource Protection and Pollution Control | |
| DOI | https://doi.org/10.1051/e3sconf/202124502001 | |
| Published online | 24 March 2021 | |
The Role of Deep Learning Method Based on Environmental Geochemical Data in Resource
College of Geo-exploration Science and Technology, Jilin University, Changchun, China
* Corresponding author: peiyao@jlu.edu.cn
In recent years, with the continuous development of artificial intelligence, deep learning, as an important method of artificial intelligence learning, has made great progress. At present, deep learning has been successfully applied in many engineering fields. Environmental science itself involves a wide range, among which environmental geochemistry is an important branch. The combination of environmental geochemical problems and deep learning can better study the role of geochemical problems in environmental investigation, and also can use the basic situation of regional environmental elements to predict mineral resources.
© The Authors, published by EDP Sciences, 2021
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