Wavelet Neural Net Based Work Face Gas Emission Prediction

被引：0
|
作者：
Chen Xiang [1 ]
Cai Weihua [1 ]
机构：
[1] Hebei Univ Engn, Inst Econ & Management, Handan, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 1 | 2009年
关键词：
gas emission; wavelet neural net; prediction;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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
引用
收藏
页码：260 / 263
页数：4
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