Title :
The Study of the Gas Emission Prediction Model Based on Fuzzy-rough Set Neural Network
Author :
Hong, Jing ; Zhao, Yi
Author_Institution :
Coll. of Electron. & Electr. Eengineering, Shanghai Univ. of Eng. Sci., Shanghai, China
Abstract :
Precise and timely predicting the amount of gas emitted from the coal is of great importance for coal mine safety. A novel artificial network model based on fuzzy-rough set for gas emission forecasting of coal mine is proposed in this paper. Some practices prove that this model can perform better than the tradition neural network.
Keywords :
coal; fuel processing industries; fuzzy set theory; neural nets; rough set theory; coal mine safety; fuzzy rough set neural network; gas emission prediction model; Artificial neural networks; Computer networks; Educational institutions; Electrical engineering; Electrical safety; Fault tolerance; Machine learning; Neural networks; Predictive models; Weather forecasting; fuzzy-rough set; gas emission prediction; neural network;
Conference_Titel :
Machine Learning and Computing (ICMLC), 2010 Second International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-1-4244-6006-9
Electronic_ISBN :
978-1-4244-6007-6
DOI :
10.1109/ICMLC.2010.16
