Distance discriminant analysis model for predicting mining-induced damage degree of buildings and its application

According to the main factors affecting the mining-induced damage degree of buildings, the distance discriminant analysis model is established to predict the damage degree of buildings by using the principle of distance discriminant analysis. Many cases related to buildings damaged by mining are selected as learning samples, and the rules embedded in them are extracted. Then the distance discriminant functions for predicting the mining-induced damage degree of buildings are obtained. Besides, the learning samples are respectively substituted into the functions to inspect the accuracy of the model. Finally, the model is applied to engineering examples. Inspection and application show that the distance dicriminant analysis model has a high prediction accuracy, and is a effective method to predict the mining-induced damage degree of buildings. This will play an important role in prediction and evaluation of mining-induced damage degree of buildings.