Forecast for non-mining fracture of shaft-lining of mine
Yu Zhang · Meitan xuebao · 2009
Improved KNN algorithm by using the combination technology,and applied it to the forecast of non-mining fracture of shaft-lining of mine.Six factor indexes incuding thickness of surface soil,thickness of basal aquifers,falling rate of basal aquifer water level,outer diameters of wellbore,thickness of shaft wall and service time of wellbore were regarded as attributes of shaft-lining fracture.The KNN forecast model based on the combination technology was trained by training samples which was received from a set of engineering data,and was tested by test samples.The results show that the model has high prediction accuracy and low error rate.