GUI of Prediction of Gas Emission with Artificial Neural Network

Autor:	Wei Gao, Rong Ling, Daning Chen, Mengxin Zhang, Jixian Zhou
Rok vydání:	2021
Předmět:	History Artificial neural network Computer science business.industry Artificial intelligence business Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 1738:012064
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1738/1/012064
Popis:	This paper predicted the GUI of gas emission in mining face with the back propagation neural network (BPNN), the radial basis function neural network (RBFNN) and the general regression neural network (GRNN). By comparing the measured values and the prediction values, the results indicated that the BPNN, GRNN and RBFNN were capable of predicting the gas emission, and the prediction value by using the RBFNN is better than the other methods.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1c43fbb7a3537c2c37847d92e2d67bfb https://doi.org/10.1088/1742-6596/1738/1/012064 Zobrazit plný text záznamu