基本信息
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个人简介
Major: Rock mechanics and mining
Major scientific thesis
- Prediction of Mechanical Properties of Coal from Non-destructive Properties: A Comparative Application of MARS, ANN, and GA, , Vol.30 No.6, 4547~4562, 2021.
- Prediction of an environmental impact of tunnel blasting using ordinary artificial neural network, particle swarm and Dragonfly optimized artificial neural networks, APPLIED ACOUSTICS, Vol.181, 108122~ , 2021.
- Prediction of rock penetration rate using a novel antlion optimized ANN and statistical modelling, JOURNAL OF AFRICAN EARTH SCIENCES, Vol.82, 104287, 2021.
- Review of the Application of Artificial Intelligence in Blasting Area, Explosives & Blasting, Vol.39 No.3, 44~64, 2021.
- Prediction of blast?induced ground vibration using GPR and blast?design parameters optimization based on novel grey?wolf optimization algorithm, ACTA GEOPHYSICA, Vol.69 No.4, 1313~1324, 2021.
- Temperature effect on the thermal and hydraulic conductivity of Korean bentonite buffer material, PROGRESS IN NUCLEAR ENERGY, Vol.137, , 2021.
- A comparative application of the Buckingham π (pi) theorem, white-box ANN, gene expression programming, and multilinear regression approaches for blast-induced ground vibration prediction, ARABIAN JOURNAL OF GEOSCIENCES, Vol.14 No.12, 1073, 2021.
- Blast-induced ground vibration prediction in granite quarries: An application of gene expression programming, ANFIS, and sine cosine algorithm optimized ANN, , Vol.31, 265~277, 2021.
- Application of artificial intelligence to rock mechanics: An ove, Journal of Rock Mechanics and Geotechnical Engineering, Vol.13, 248~266, 2021.
- Prediction of the blast-induced ground vibration in tunnel blasting using ANN, moth-flame optimized ANN, and gene expression programming, ACTA GEOPHYSICA, Vol.69 No.2, 161~174, 2021.
Major scientific thesis
- Prediction of Mechanical Properties of Coal from Non-destructive Properties: A Comparative Application of MARS, ANN, and GA, , Vol.30 No.6, 4547~4562, 2021.
- Prediction of an environmental impact of tunnel blasting using ordinary artificial neural network, particle swarm and Dragonfly optimized artificial neural networks, APPLIED ACOUSTICS, Vol.181, 108122~ , 2021.
- Prediction of rock penetration rate using a novel antlion optimized ANN and statistical modelling, JOURNAL OF AFRICAN EARTH SCIENCES, Vol.82, 104287, 2021.
- Review of the Application of Artificial Intelligence in Blasting Area, Explosives & Blasting, Vol.39 No.3, 44~64, 2021.
- Prediction of blast?induced ground vibration using GPR and blast?design parameters optimization based on novel grey?wolf optimization algorithm, ACTA GEOPHYSICA, Vol.69 No.4, 1313~1324, 2021.
- Temperature effect on the thermal and hydraulic conductivity of Korean bentonite buffer material, PROGRESS IN NUCLEAR ENERGY, Vol.137, , 2021.
- A comparative application of the Buckingham π (pi) theorem, white-box ANN, gene expression programming, and multilinear regression approaches for blast-induced ground vibration prediction, ARABIAN JOURNAL OF GEOSCIENCES, Vol.14 No.12, 1073, 2021.
- Blast-induced ground vibration prediction in granite quarries: An application of gene expression programming, ANFIS, and sine cosine algorithm optimized ANN, , Vol.31, 265~277, 2021.
- Application of artificial intelligence to rock mechanics: An ove, Journal of Rock Mechanics and Geotechnical Engineering, Vol.13, 248~266, 2021.
- Prediction of the blast-induced ground vibration in tunnel blasting using ANN, moth-flame optimized ANN, and gene expression programming, ACTA GEOPHYSICA, Vol.69 No.2, 161~174, 2021.
研究兴趣
论文共 94 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
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期刊级别
合作者
合作机构
GEOMECHANICS AND ENGINEERINGno. 3 (2023): 279-289
SUSTAINABILITYno. 4 (2023): 3265-3265
Rock Mechanics Bulletinno. 3 (2023): 100059-100059
Rock Mechanics and Rock Engineering (2023): 6157-6166
Journal of the Korean Society of Mineral and Energy Resources Engineersno. 6 (2022): 717-734
Arabian Journal of Geosciencesno. 3 (2022): 1-16
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作者统计
#Papers: 91
#Citation: 1475
H-Index: 24
G-Index: 34
Sociability: 5
Diversity: 2
Activity: 45
合作学者
合作机构
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