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Computational Intelligence Model for Estimating Intensity of Blast-Induced Ground Vibration in a Mine Based on Imperialist Competitive and Extreme Gradient Boosting Algorithms |
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| Authors: | Ding Ziwei Nguyen Hoang Bui Xuan-Nam Zhou Jian Moayedi Hossein |
| Institution: | 1.School of Energy, Xi’an University of Science and Technology, Xi’an, 710054, China ;2.Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam ;3.Department of Surface Mining, Mining Faculty, Hanoi University of Mining and Geology, 18 Vien St., Duc Thang Ward, Bac Tu Liem Dist, Hanoi, Vietnam ;4.Center for Mining, Electro-Mechanical Research, Hanoi University of Mining and Geology, 18 Vien St., Duc Thang Ward, Bac Tu Liem Dist, Hanoi, Vietnam ;5.School of Resources and Safety Engineering, Central South University, Changsha, 410083, Hunan, China ;6.Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam ;7.Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam ; |
| Abstract: | Natural Resources Research - In this paper, we developed a novel hybrid model ICA–XGBoost for estimating blast-produced ground vibration in a mine based on extreme gradient boosting (XGBoost)... |
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