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- [1] The LS-SVM Model Based on PSO for Predicting the Failure Depth of Coal Seam Floor 2011 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION AND INDUSTRIAL APPLICATION (ICIA2011), VOL IV, 2011, : 83 - 87
- [2] Forecast of destroyed floor depth based on BP neural networks Meitan Xuebao/Journal of the China Coal Society, 2009, 34 (06): : 731 - 736
- [4] RETRACTED: The LS-SVM Model Based on PSO for Predicting the Failure Depth of Coal Seam Floor (Retracted Article) 2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL IX, 2010, : 85 - +
- [5] Application of SVM in forecast of water inrush from coal floor based on model reliability examination Electronic Journal of Geotechnical Engineering, 2014, 19 (0L): : 2657 - 2668
- [6] Application of SVM in forecast of water inrush from coal floor based on model reliability examination Xue, Y. (xieagle@sdu.edu.cn), 1600, E-Journal of Geotechnical Engineering (19 L):
- [7] Prediction of floor failure depth based on grey correlation analysis theory Meitan Xuebao/Journal of the China Coal Society, 2015, 40 : 53 - 59
- [9] Study on Failure Law and Failure Depth of Floor in Deep Mining Geotechnical and Geological Engineering, 2019, 37 : 4933 - 4946
- [10] Sensitivity analysis of controlling factors on failure depth of floor based on orthogonal experiment Meitan Xuebao/Journal of the China Coal Society, 2015, 40 (09): : 1995 - 2001