Prediction of Gas Emission by BP Neural Network Based On Wavelet Analysis

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Guo, Xiucai^1 ; Ren, Zhiqi^1 ; Wang, Qinsheng^1 ; Cui, Chenchen^1

School of Electrical and Control Engineering, Xi'An University of Science and Technology, Xi'an

710000, China^1

关键词: BP neural networks;    Comprehensive utilizations;    Gas emission quantity;    Matlab simulations;    Mine workings;    Prediction systems;    Self-learning;    Wavelet denoising;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/5/052046/pdf
DOI  :  10.1088/1755-1315/252/5/052046

来源: IOP

【 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.