期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：252
期号：5
页码：1-9
DOI：10.1088/1755-1315/252/5/052046
出版社：IOP Publishing
摘要：This paper proposes a wavelet denoising function and BP neural network self-learning and prediction of combining the mine working face gas emission prediction system, comprehensive utilization of denoising ability of wavelet analysis algorithm combined with BP neural network prediction ability of prediction system, designed. And by using data collected at the scene of the algorithm in MATLAB simulation test, the method is verified by the experiments on the predictions of a working face gas emission quantity has the very good effect.
