Wavelet Neural Net Based Work Face Gas Emission Prediction
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.
gas emission wavelet neural net prediction
CHEN Xiang CM Weihua
Institute of Economics and Management Hebei University of Engineering Handan,China
国际会议
上海
英文
260-263
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）