Title :
Predictions for Coal Spontaneous Combustion Stage Based on an Artificial Neural Network
Author_Institution :
Coll. of Sci., Xi´´an Univ. of Sci. & Technol., Xi´´an, China
Abstract :
This paper proposed a prediction model for coal spontaneous combustion stage. The nonlinear relations between coal spontaneous combustion stage and velocity of oxygen consumption, CO production, CO2 production with different temperatures are studied first. Then an artificial neural network model is proposed to characterize the relations and it is trained by some previous results of coal spontaneous combustion experiments. The numerical results show the accuracy and efficiency of our method.
Keywords :
coal; combustion; mining; neural nets; production engineering computing; velocity; CO production; CO2 production; artificial neural network model; coal spontaneous combustion stage; oxygen consumption velocity; prediction model; Artificial neural networks; Biological neural networks; Coal; Combustion; Heating; Production; Temperature measurement; artificial neural network; coal spontaneous combustion stage; oxygen consumption; prediction;
Conference_Titel :
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location :
Hainan
Print_ISBN :
978-1-4577-2008-6
DOI :
10.1109/CIS.2011.92
