THE NONLINEAR METHODS OF FORECAST AND JUDGMENT FOR SHAFT-LINING NON-MINING FRACTURE OF YANZHOU MINE

Shaft-lining non-mining fracture is a kind of engineering geological hazard, which results from interaction between human engineering and natural environment and could cause great economic losses. The neural network and the fuzzy neural network methods are used for forecasting and judgment of shaft-lining fractures. The results show that neural network and fuzzy neural network methods can accurately predict occurrences of fractures and meet the need of practical application.