Detection of coal mine roof based on support vector machine ensemble

In this paper, a method to detect many types of coal mine roof is proposed, which is based on support vector machine ensemble. In Optimization process, the depth-first search is used. The classification and recognition of security risk is according to power spectral characteristics of human ear of mine roof percussion signal. The experiments show that the algorithm can classify the security risk of coal mine roof effectively.