Prediction of the height of water flowing fractured zone based on PSO-BP neural network

Authors

LOU Gaozhong, School of Civil and Architectural Engineering, Anyang Institute of Technology, Anyang 455000, China
TAN Yi, School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454003, China; State Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency Utilization, Jiaozuo 454003, China

Abstract

Prediction of the height of water flowing fractured zone based on PSO-BP neural network

Keywords

particle swarm optimization, BP neural network, height of water flowing fractured zone, influential factors, prediction model

DOI

10.3969/j.issn.1001-1986.2021.04.024

Recommended Citation

L T. (2021) "Prediction of the height of water flowing fractured zone based on PSO-BP neural network," Coal Geology & Exploration: Vol. 49: Iss. 4, Article 26.
DOI: 10.3969/j.issn.1001-1986.2021.04.024
Available at: https://cge.researchcommons.org/journal/vol49/iss4/26

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