Predictive analysis of coal & gas outbrust area based on ant colony optimization and cloud

Author

Ma Xiao-ping ; Jin Zhu

Author_Institution

Sch. of Inf. & Electr. Eng., China Univ. of Min. &Technol., Xuzhou, China

fYear

2011

fDate

22-24 July 2011

Firstpage

4297

Lastpage

4300

Abstract

The coal and gas outbrust have manifested great significance in the production safety of coal mine. In response to the features of factors which have been affecting coal and gas outburst are quite various and, interaction of them are so highly complicated, this paper has present a feature extraction method for coal and gas outburst area forecast on the basis of ant colony optimization. This method converts the feature selection of intricate multi-factors to parallel combinatorial optimization and global optimization. And then, a coal and gas outburst area forecast model is established with the cloud model. Evaluation and analyses on mine practical data prove that proposed approach are effective and practicable.

Keywords

combinatorial mathematics; feature extraction; mining industry; optimisation; ant colony optimization; coal outbrust area; feature extraction method; feature selection; gas outbrust area; parallel combinatorial optimization; predictive analysis; production safety; Ant colony optimization; Coal; Electronic mail; Feature extraction; Forecasting; Optimization; Predictive models; Ant colony Optimization; Cloud Model; Coal and Gas; Prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2011 30th Chinese

Conference_Location

Yantai

ISSN

1934-1768

Print_ISBN

978-1-4577-0677-6

Electronic_ISBN

1934-1768

Type

conf

Filename

6003379