Research on coal-rock interface prediction based on ground-penetrating radar and PSO-BP neural network

To address the problem of insufficient accuracy in the application of ground-penetrating radar for coal-rock interface prediction, the Particle Swarm Optimization (PSO) algorithm was used to optimize the BP neural network, and a coal-rock interface prediction model based on ground-penetrating radar...

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Detaylı Bibliyografya
Asıl Yazarlar:	ZHANG Hejiang, ZHANG Yiping, HOU Chenfeng, WANG Miaosi, ZHOU Lizhi
Materyal Türü:	Artigo
Dil:	Chinês
Baskı/Yayın Bilgisi:	Editorial Department of Industry and Mine Automation 2025-08-01
Seri Bilgileri:	Gong-kuang zidonghua
Konular:	coal-rock interface recognition ground–penetrating radar bp neural network particle swarm optimization algorithm pso-bp neural network characteristic parameters
Online Erişim:	http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2025040075
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Research on coal-rock interface prediction based on ground-penetrating radar and PSO-BP neural network

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