Prediction of coal seam water conduction fault zone height based on LC-SSA-BP neural network model
Aiming at the problems of low prediction accuracy for the height of water-conducting fracture zone and difficult parameters optimization, we propose a guide height prediction method based on improved sparrow search algorithm SSA optimized BP （LC-SSA-BP） neural network model based on logistic chaotic...
I tiakina i:
| Kaituhi matua: | |
|---|---|
| Hōputu: | Artigo |
| Reo: | Chinês |
| I whakaputaina: |
Editorial Office of Safety in Coal Mines
2023-05-01
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| Rangatū: | Meikuang Anquan |
| Ngā marau: | |
| Urunga tuihono: | https://www.mkaqzz.com/cn/article/id/8395 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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