DocumentCode
3105873
Title
Coal Mine Safety Investment Prediction Based on Wavelet Neural Network
Author
Ning Yuncai ; Chen Xiang
Author_Institution
Inst. of Manage., China Univ. of Min. &Technol., Beijing, China
fYear
2009
fDate
13-14 Dec. 2009
Firstpage
242
Lastpage
245
Abstract
Presently, China coal mine safety situation is grim. One of important reasons is inadequacy of the safety investment. Safety investment prediction can provide the decision basis for the effective control and guidance of safety investment. The paper analyzed the impact factors of the coal mine safety investment, built the prediction model of coal mine safety investment based on wavelet neural network. Finally, it adopted the investigation data of a mine in Huainan, which proved the method is feasible and effective.
Keywords
coal; mining; neural nets; occupational safety; wavelet transforms; China coal mine safety situation; Huainan mine; coal mine safety investment prediction; wavelet neural network; Artificial neural networks; Conference management; Domestic safety; Function approximation; Investments; Neural networks; Predictive models; Technology management; Wavelet analysis; Wavelet transforms; index system; prediction; safety investment; wavelet neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Information Technology and Management Engineering, 2009. FITME '09. Second International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-5339-9
Type
conf
DOI
10.1109/FITME.2009.66
Filename
5380971
Link To Document