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Prediction of top-coal caving and drawing characteristics using artificial neural networks in extremely thick coal seam

机译：特厚煤层人工神经网络预测综放开采特征

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Yu Jianhao; Mao Debing;
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1. Prediction of top-coal caving and drawing characteristics by the analytic hierarchy process-fuzzy discrimination method in extra-thick coal seams [J] . Chi Mingbo, Zhang Dongsheng, Fan Gangwei, Journal of intelligent & fuzzy systems: Applications in Engineering and Technology . 2017,第4期

机译：厚厚煤层中的分析层次处理模糊辨别方法预测顶煤塌陷和拉丝特性
2. Surface stepped subsidence related to top-coal caving longwall mining of extremely thick coal seam under shallow cover [J] . Ju Jinfeng, Xu Jialin International Journal of Rock Mechanics and Mining Sciences . 2015,第Null期

机译：与浅埋层下超厚煤层顶煤放长壁开采有关的地表下沉
3. Research on the Influence of Mining Height on the Movement Characteristics of Overlying Strata during Extremely Thick Coal Seam Fully Mechanized Sublevel Caving Mining [J] . Yongkang Yang, Jie Wei, Chenlong Wang Advances in civil engineering . 2021,第a期

机译：采矿高度对极厚煤层综合机械化浮雕矿井覆盖层运动特性的影响研究
4. Prediction of top-coal caving and drawing characteristics using artificial neural networks in extremely thick coal seam [C] . Yu Jianhao, Mao Debing International Conference on Mechanical, Electronic and Information Technology Engineering . 2015

机译：极厚煤层中的人工神经网络预测顶煤崩落和绘图特性
5. Integration of gene predictions using artificial neural networks. [D] . Pan, Youlian. 2002

机译：使用人工神经网络整合基因预测。
6. Research on prediction of residual deformation in goaf of steeply inclined extra–thick coal seam [O] . Changfu Huang, Qun Li, Shuguang Tian 2020

机译：陡坡超厚煤层净余碎变形预测研究
7. Prediction of Gas Emission from Floor Coalbed of Steeply Inclined and Extremely Thick Coal Seams Mined Using the Horizontal Sublevel Top-Coal Caving Method [O] . Yanwei Hu, Gang Wang, Jianqiang Chen, 2019

机译：采用水平卸液顶煤落煤法采用陡峭倾斜煤层覆盖煤层的煤层气排放的预测
8. Development and Application of Reservoir Models and Artificial Neural Networks for Optimizing Ventilation Air Requirements in Development Mining of Coal Seams [R] . Karacan, C. O. 2008

机译：作者：郝建军，王建华，煤矿安

Prediction of top-coal caving and drawing characteristics using artificial neural networks in extremely thick coal seam

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