Open AccessThe prediction of the gas emission with artificial neural network
Author(s) -
Qiong Xu,
Xiangyu Zhou,
Jozef De Man,
Qiuping Jiang,
Jiahui Jin,
Yu Zhu,
Kai Guo,
Haizhen Jiao,
Wei Gao
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/295/3/032008
Subject(s) - artificial neural network , radial basis function , radial basis function network , basis (linear algebra) , backpropagation , function (biology) , artificial intelligence , computer science , mathematics , geometry , evolutionary biology , biology
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.