The prediction of the gas emission with artificial neural network

2019 5th International Conference on Energy Materials and Environment Engineering

能源学;生态环境科学

Xu, Q.^1 ; Zhou, X.^2^3 ; Man, J.^4 ; Jiang, Q.^1 ; Jin, J.^1 ; Zhu, Y.^1 ; Guo, K.^1 ; Jiao, H.^1 ; Gao, W.^1

School of Safety Engineering, Ningbo University of Technology, Ningbo, Zhejiang

315211, China^1

School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan, Hubei

430070, China^2

School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan, Hubei

430070, China^3

Ningbo Liwah Pharmaceutical Co. Ltd., Zhenhai Branch, Ningbo, Zhejiang

315204, China^4

关键词: Back propagation neural networks;    General regression neural network;    Measured values;    Mining face;    Radial basis function neural networks;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/295/3/032008/pdf
DOI  :  10.1088/1755-1315/295/3/032008

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

This paper predicted the gas emission in mining face with the back propagation neural network, the radial basis function neural network and the general regression neural network. By comparing the measured values and the prediction values, it indicated that all of three artificial neural networks were capable of predicting the gas emission. And the radial basis function neural network showed the best performance in the prediction of the gas emission.