DOI: 10.20868/upm.thesis.52148
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Modeling and Risk Assessment of Fault-Induced Mine Water Inrush

Abstract: Aquifuge thickness AHP Analytic hierarchy process ANFIS Adaptive neuro-fuzzy inference system ANN Artificial neural network BN Bayesian network BP Back-propagation CA Clustering analysis DACS Dip angle of coal seam DZ Damage zone DWF Distance to working face DOF Degree of freedom ESQ Expert semi-quantitative FEM Finite element method FIS Fuzzy inference system FZ Fracture zone FT Fault throw FNN Fuzzt neural network MH Mining height PCA Principal component analysis PUM Partition of unity method RES Rock engine… Show more

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