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...
Tallennettuna:
| Päätekijä: | |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Chinês |
| Julkaistu: |
Editorial Office of Safety in Coal Mines
2023-05-01
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| Sarja: | Meikuang Anquan |
| Aiheet: | |
| Linkit: | https://www.mkaqzz.com/cn/article/id/8395 |
| Tagit: |
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