Title :
The Application of Optimized GM(1,1) in Mine Gas Flow Volume Forecast
Author :
TianJun, Zhang ; Lin, Su ; Baoming, Qiao ; Mina, Ma
Author_Institution :
Coll. of Sci., Xi´´an Univ. of Sci. & Technol., Xi´´an, China
Abstract :
In order to accurately predict mine gas flow volume, based on the theory of the gray model, analyses the GM(1,1) mechanism, and point out the model of theoretical defects, than do optimum to the model of time response function. Optimum model will use to mine gas flow volume of prediction, the prediction accuracy for 98.1784%. Results show that the optimum model for the mine gas flow volume prediction can achieve idea prediction accuracy.
Keywords :
forecasting theory; gas industry; mining industry; GM(1,1) mechanism; gray model; mine gas flow volume forecasting; time response function; Equations; Fluid flow; Fuel processing industries; Mathematical model; Predictive models; Solid modeling; Time factors; 1); GM (1; Gas Flow Volum; Optimum; Prediction; Time Response Function;
Conference_Titel :
Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-61284-278-3
Electronic_ISBN :
978-0-7695-4350-5
DOI :
10.1109/CDCIEM.2011.459
