Prediction of Backfill Strength Based on Support Vector Regression Improved by Grey Wolf Optimization

Author:

Zhang Bo,Li Keqing,Hu Yafei,Ji Kun,Han Bin

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference22 articles.

1. WU A X, WANG Y, WANG H J. Status and prospects of the paste backfill technology [J]. Metal Mine, 2016 (7): 1–9 (in Chinese).

2. YIN S H, HOU Y Q, YANG S X, et al. Analysis of deformation failure and energy dissipation of mixed aggregate cemented backfill during uniaxial compression [J]. Journal of Central South University (Science and Technology), 2021, 52(3): 936–947 (in Chinese).

3. WU A X, SHEN H M, JIANG L C, et al. Arching effect of long-narrow cemented paste backfill body and its effect on target strength [J]. The Chinese Journal of Nonferrous Metals, 2016, 26(3): 648–654 (in Chinese).

4. HAN B, WANG X L, XIAO W G. Estimation and evaluation of backfill strength in underground stope based on multivariate nonlinear regression analysis [J]. Journal of Mining & Safety Engineering, 2012, 29(5): 714–718 (in Chinese).

5. ZHANG Q L, LI X P, YANG W. Optimization of filling slurry ratio in a mine based on back-propagation neural network [J]. Journal of Central South University (Science and Technology), 2013, 44(7): 2867–2874 (in Chinese).

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