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
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;
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
DOI :
10.1109/FITME.2009.66
