DocumentCode
3040735
Title
Temperature and humidity of air in mine roadways prediction based on BP neural network
Author
Chen, Xuexi ; Xu, Ameng
Author_Institution
Sch. of Safety Eng., North China Inst. of Sci. & Technol., Beijing, China
fYear
2011
fDate
26-28 July 2011
Firstpage
1273
Lastpage
1276
Abstract
The present situation in predicting temperature and humidity of air in mine roadways is analyzed in this paper.With the method of neural network, a model of predicting the air temperature and humidity of roadway is established in well. Through a lot of experimental data, the model is trained and has been proved that it can acquired higher prediction accuracy by the instances.
Keywords
aerodynamics; backpropagation; heat transfer; humidity; mechanical engineering computing; mining industry; neural nets; prediction theory; temperature; BP neural network; airflow humidity; airflow temperature; mining roadways prediction; Atmospheric modeling; Humidity; Predictive models; Temperature distribution; Temperature measurement; Training; air temperature; neural network; prediction; roadway;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6002598
Filename
6002598
Link To Document