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Prediction of Rock Size Distribution in Mine Bench Blasting Using a Novel Ant Colony Optimization-Based Boosted Regression Tree Technique
Authors:Zhang  Shike  Bui  Xuan-Nam  Trung   Nguyen-Thoi  Nguyen   Hoang  Bui   Hoang-Bac
Affiliation:1.School of Civil Engineering and Architecture, Anyang Normal University, Anyang, 450000, Henan, China
;2.Department of Surface Mining, Mining Faculty, Hanoi University of Mining and Geology, 18 Vien St., Duc Thang Ward, Bac Tu Liem Dist., Hanoi, Vietnam
;3.Center for Mining, Electro-Mechanical Research, Hanoi University of Mining and Geology, 18 Vien St., Duc Thang Ward, Bac Tu Liem Dist., Hanoi, Vietnam
;4.Division of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam
;5.Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam
;6.Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam
;7.Faculty of Geosciences and Geoengineering, Hanoi University of Mining and Geology, 18 Vien St., Duc Thang Ward, Bac Tu Liem Dist., Hanoi, Vietnam
;8.Center for Excellence in Analysis and Experiment, Hanoi University of Mining and Geology, 18 Vien St., Duc Thang Ward, Bac Tu Liem Dist., Hanoi, Vietnam
;
Abstract:Natural Resources Research - In this paper, we used artificial intelligence (AI) techniques to investigate the relation between the rock size distribution (RSD) and blasting parameters for rock...
Keywords:
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