Using swarm intelligence optimization algorithms to predict the height of fractured water-conducting zone
The accurate calculation of the height of fractured water-conducting zone (FWCZ) is of great significance for mine optimization design, water disaster prevention, and safety production of the coal mines. In this article, a height-prediction model of FWCZ based on extreme learning machine (ELM) is pr...
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| Hlavní autoři: | , , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
SAGE Publishing
2023-09-01
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| Edice: | Energy Exploration & Exploitation |
| On-line přístup: | https://doi.org/10.1177/01445987231178938 |
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