Predictive Modeling of Mining Induced Ground Subsidence with Survival Analysis and Online Sequential Extreme Learning Machine

Author:

Wei Yong,Yang Chunlan

Publisher

Springer Science and Business Media LLC

Subject

Geology,Soil Science,Geotechnical Engineering and Engineering Geology,Architecture

Reference37 articles.

1. Agioutantis ZG, Karmis M (2013) Recent developments on surface ground strain calculations due to underground mining in Appalachia. In: Proceedings of 32nd international conference on ground control in mining, Morgantown, West Virginia, pp. 214–219

2. Allison PD (2014) Event history and survival analysis: regression for longitudinal event data, vol 46. SAGE Publications, Beverley Hills

3. Ambrožič T, Turk G (2003) Prediction of subsidence due to underground mining by artificial neural networks. Comput Geosci 29(5):627–637

4. Choi JK, Kim KD, Lee S, Won JS (2010) Application of a fuzzy operator to susceptibility estimations of coal mine subsidence in Taebaek City, Korea. Environ Earth Sci 59(5):1009–1022

5. Cox DR, Oakes D (1984) Analysis of survival data, vol 21. CRC Press, Boca Raton

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