Crossmark

Comparative study of five machine learning algorithms on prediction of the height of the water-conducting fractured zone in undersea mining

Published Online: 2024-09-09

Authors

Wu, Zhengyu

Chen, Ying

Luo, Dayou
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (52104122)

Open Project of Engineering Research Center of Phosphorus Resources Development and Utilization of Ministry of Education (LKF2021007)

Natural Fund project of Fujian Province Science and Technology Department (2020J01943)
License Information

Text and Data Mining valid from 2024-09-09

Version of Record valid from 2024-09-09
More Information

Article History

Received: 19 March 2024

Accepted: 2 September 2024

First Online: 9 September 2024

Competing interests

: The authors declare no competing interests.

Document is current