中文

Journal Publications

[21]Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting.Engineering with Computers, 2019
[22]Random Forests and Cubist Algorithms for Predicting Shear Strengths of Rockfill Materials.Applied Sciences, 2020
[23]Prediction of rockburst risk in underground projects developing a neuro-bee intelligent system.Bulletin of Engineering Geology and the Environment, 2020
[24]Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm.Engineering with Computers, 2020
[25]Developing a hybrid model of salp swarm algorithm based support vector machine to predict the strength of fiber reinforced cemented paste backfill.Engineering with Computers, 2020
[26]A new hybrid model of information entropy and unascertained measurement with different membership functions for evaluating destressability in burst-prone underground mines.Engineering with Computers, 2020
[27]深部固体资源开采评述与探索.中国有色金属学报, 2017, 27 (6) : 1236-1262.
[28]Integrating unascertained measurement and information entropy theory to assess blastability of rock mass.J. Cent. South Univ., 2012, 19: 1953？1960.
[29]Predicting pillar stability for underground mine using Fisher discriminant analysis and SVM methods.Trans. Nonferrous Met. Soc. China, 2011, 21: 2734-2743.
[30]Utilizing gradient boosted machine for the prediction of damage to residential structures owing to blasting vibrations ofopen pit mining.Journal of Vibration and Control, 2016, 22 (19) : 3986–3997.
[31]Feasibility of stochastic gradient boosting approach for predicting rockburst damage in burst-prone mines.Trans. Nonferrous Met. Soc. China, 2016, 26: 1938？1945.
[32]Multiplanar detection optimization algorithm for the interval charging structure of large-diameter longhole blasting design based on rock fragmentation aspects.Engineering Optimization, 2018, 50 (12) : 2177-2191.

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