ANN Mode Vulnerability Index Prediction Method of Water Inflow Danger from Aquifer in Base Rock of Mine Shaft
ZHENG Jun
ZHOU Yu-liang
ZHOU Li
LIU Zhi-qiang
XIAO Wei
Abstract：Based on a basic principle of the artificial neural network ,a prediction was conducted on the water inflow danger from the aquifer in the base rock of the mine shaft. The main control factors of the water inflow from the aquifer in the base rock of the mine shaft obtained with an inductive analysis were applied to establish an ANN mode vulnerability index prediction model of the water inflow dan‐ger from the aquifer in the base rock section of the mine shaft. The model was applied to the prediction engineering practices of the water inflow danger in the base rock of an auxiliary shaft in Fanwangsi Mine. The results showed that the vulnerability index prediction model could well evaluate the water inflow influence factors of the aquifer in the base rock of the mine shaft and predicted results would have important reference value to the mine shaft sinking operations at the base rock section.
Keywords：mine shaftaquifer of base rockwater inflow dangerANN mode vulnerability index predic-tion method
Publication Date：2014-09-18
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 42-47 )