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
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;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6002598
