Title :
Wavelet neural net based work face gas emission prediction
Author :
Xiang Chen ; Weihua Cai
Author_Institution :
Inst. of Econ. & Manage., Hebei Univ. of Eng., Handan, China
Abstract :
Mine work face gas emission is the important basis for mine design, and has important practical significance for ventilation and safety production. Between mine gas emission and work face there are complex nonlinear relationships. The paper constructed a work face gas emission prediction model based on wavelet neural network. It based on statistics of a mine work face gas emission data, applied the model to predict the gas emission, which results were precise, which proved the model was viable and effective for work face gas prediction.
Keywords :
coal; mining; neural nets; safety; ventilation; wavelet transforms; coal mining; mine design; safety production; ventilation; wavelet neural net; work face gas emission prediction; Artificial neural networks; Economic forecasting; Engineering management; Function approximation; Neural networks; Prediction methods; Predictive models; Product safety; Production; Wavelet transforms; gas emission; prediction; wavelet neural net;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5357851
