Research on height prediction of water-conducting fracture zone in coal mining based on intelligent algorithm combined with extreme boosting machine-Reference-Cited by-同舟云学术

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Research on height prediction of water-conducting fracture zone in coal mining based on intelligent algorithm combined with extreme boosting machine

Published:2024-09 Issue: Volume:249 Page:123669
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Xu Chun,Zhou Keping,Xiong Xin^ORCID,Gao Feng,Zhou Jian

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference50 articles.

1. Modelling of longwall mining-induced strata permeability change;Adhikary;Rock Mechanics & Rock Engineering.,2015

2. XGBoost: A scalable tree boosting system;Chen,2016

3. Estimation method for height of fratured zone with water flow in coal mining area;Cao;The Chinese Journal of Geological Hazard and Control.,2014

4. Chen P.P.,Liu H.Q.,Zhu Z.X.,Yan.Y(2005). Height forecast of water conducted zone with top coal caving based on artificial neural network. Journal of China Coal Society., (04), 438-442. doi: CNKI:SUN:MTXB.0.2005-04-006.

5. Prediction and minimization of blast-induced flyrock using gene expression programming and cuckoo optimization algorithm;Dehghani;Environmental Earth Sciences.,2021

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1. Research on Spatiotemporal Continuous Information Perception of Overburden Compression–Tensile Strain Transition Zone during Mining and Integrated Safety Guarantee System;Sensors;2024-09-09

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