Title :
The Forecast of Coal Demand Based on RoughSet and BP Neural Network Model
Author :
Zhenyu Cai ; Ma, Xingmin
Author_Institution :
Sch. of Econ. & Manage., HeBei Univ. of Eng., Handan, China
Abstract :
In the past, the accuracy of forecasting coal demand is not very satisfactory. In this paper, rough set for the coal demand factors affecting the reduction, the core factors extracted using BP neural network to predict, through the results of China coal demand forecast can be seen that the value of history fit very well, indicating that this model has better scientific and rationality. Finally, the model predicts the next four years coal demand in China.
Keywords :
backpropagation; coal; demand forecasting; neural nets; rough set theory; supply and demand; BP neural network model; China; backpropagation; coal demand forecasting; rough set theory; Artificial neural networks; Biological system modeling; Decision making; Fuel processing industries; Predictive models; Set theory; Training;
Conference_Titel :
Management and Service Science (MASS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5325-2
Electronic_ISBN :
978-1-4244-5326-9
DOI :
10.1109/ICMSS.2010.5577120
