[1]王生全,刘柏根,张召召,等.遗传算法的BP网络模型进行瓦斯涌出量预测[J].西安科技大学学报,2012,(01):51-56.
 WANG Sheng-quan,LIU Bo-gen,ZHANG Zhao-zhao,et al.Prediction of gas emission quantity of mining faces based on genetic BP neutral network optimal model[J].Journal of Xi'an University of Science and Technology,2012,(01):51-56.
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遗传算法的BP网络模型进行瓦斯涌出量预测(/HTML)
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西安科技大学学报[ISSN:1672-9315/CN:61-1434/N]

卷:
期数:
2012年01期
页码:
51-56
栏目:
出版日期:
2012-02-29

文章信息/Info

Title:
Prediction of gas emission quantity of mining faces based on genetic BP neutral network optimal model
文章编号:
1672-9315(2012)01-0051-06
作者:
王生全1刘柏根2张召召1范琪1冯海1
1.西安科技大学 地质与环境学院,陕西 西安 710054; 2.煤炭科学研究总院 西安研究院,陕西 西安 710054
Author(s):
WANG Sheng-quan1LIU Bo-gen2ZHANG Zhao-zhao1FAN Qi1FENG Hai1
1.College of Geology and Environment,Xi'an University of Science and Technology, Xi'an 710054, China; 2. Xi'an Branch, Coal Science Research Institute, Xi'an 710054, China
关键词:
遗传算法 BP网络 采煤工作面 瓦斯涌出量 预测
Keywords:
prediction gas emission quantity mining faces BP neutral network genetic algorithm
分类号:
TD 712
文献标志码:
A
摘要:
从提高采煤工作面瓦斯涌出量预测的速度和精度入手,将遗传算法与神经网络2种非线性最优化算法的优势加以融合,提出了一种利用遗传算法同时优化BP网络的连接权和拓扑结构的网络模型,并以韩城下峪口煤矿为例,进行了实际应用。结果表明:改进后的BP网络模型预测精度较高,具有良好的应用前景。
Abstract:
Starting with the improving of the prediction speed and precise of gas emission quantity at mining faces, the authors put forward a BP neutral network model for optimizing both the network link weight and topologic structure with a genetic algorithm. Taking Hancheng Xiayukou coal mine as an example, a practical application method is given. The results shows the model is of a higher precision and application prospect.

参考文献/References:

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WANG Sheng-quan,LIU Bo-gen,JING Jin,et al.Prediction of mine gas emission quantity[J].Journal of Xi'an University of Science and Technology,2010,30(3):271-274.
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备注/Memo

备注/Memo:
收稿日期: 2011-06-29
基金项目: 陕西省教育厅专项基金(09JK587),陕西省自然科学基金(2005D01)资助
通讯作者: 王生全(1961-),男,陕西岐山人,教授,主要从事瓦斯地质与煤田地质教学研究工作.
更新日期/Last Update: 1900-01-01