A RBFNN-based method for the prediction of the developed height of a water-conductive fractured zone for fully mechanized mining with sublevel caving

Author:

Wu Qiang,Shen Jianjun,Liu Weitao,Wang Yang

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference26 articles.

1. Chen PP (2008) Forecasting of destroyed height of overlying rock with the top coal caving based on ANN. Journal of Coal Science & Engineering 14(2):190–194

2. Chen RH, Bai HB, Feng MM (2006) Determination of the height of water flowing fractured zone in overburden strata above fully mechanized top coal caving face. Journal of Mining & Safety Engineering 23(2):221–223

3. Chen PP, Liu HQ, Zhu ZX, Yan Y (2005) Height forecast of water conductive zone with top coal caving based on artificial neural network. J China Coal Soc 30(4):38–442

4. Gan ZC, Zhang HX, Liu HQ (2006) Application of EH-4 electro-conductibility imaging system in the detection of “two-zones” height. Coal Mining Technology 11(3):14–18

5. Gao YF, Qu ZJ, Xing F, Qu GL, Li L (2009) Observation of height of excavating face H2106 in Longkoubeizao Mine under sea. Coal Geology and Exploration 37(6):35–38

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