Type Identification of Coal Mining Face Based on Wavelet Packet Decomposition and LM-BP

Abstract

In view of the fact that there are few methods for identifying coal mining processes in existing coal mines, the gas concentration of coal mining face is analyzed. According to the gas data under different coal mining processes, the cumulative sequence algorithm is used to segment the sample sequence and combine wavelet packet decomposition. The analysis and LM-BP neural network establish the identification method of coal mining process, and the experimental results verify that the recognition result is higher than the actual coal mining operation type.