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| 遗传算法与神经网络的结合在煤与瓦斯突出危险性预测中的应用研究 | |
| 引用本文： | 陈全秋,郭勇义,吴世跃,徐玉胜,王灿召.遗传算法与神经网络的结合在煤与瓦斯突出危险性预测中的应用研究[J].中国煤炭,2010,36(3). |
| 作者姓名： | 陈全秋 郭勇义 吴世跃 徐玉胜 王灿召 |
| 作者单位： | 1. 太原理工大学矿业工程学院,山西省太原市,030024 2. 太原理工大学矿业工程学院,山西省太原市,030024;太原科技大学,山西省太原市,030024 3. 晋城煤业集团寺河矿,山西省晋城市,048205 |
| 基金项目： | 国家科技支撑计划项目(2007BAK29B01); 山西省科技攻关项目(2007031120-02) |
| 摘 要： | 将反映煤与瓦斯突出的重要特征指标:最大钻屑量(S)、钻屑解析指标(K1)、钻孔瓦斯涌出初速度(q0)和煤的坚固性系数(f)通过神经网络与遗传算法有效结合,建立煤与瓦斯突出危险性预测模型,并通过现场实测数据进行突出危险性预测。结果表明:两种算法的结合对煤与瓦斯突出危险性预测是有效的,它与传统的预测方法相比收效速度更快,容错能力更强,预测精度更高。 |
| 关 键 词： | 煤与瓦斯突出 预测 特征指标 神经网络 遗传算法 |
On the combined application of genetic algorithm and neural network in the prediction of coal/gas outbursts |
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| Chen Quanqiu,Guo Yongyi,Wu Shiyue,Xu Yusheng,Wang Canzhao.On the combined application of genetic algorithm and neural network in the prediction of coal/gas outbursts[J].China Coal,2010,36(3). | |
| Authors: | Chen Quanqiu Guo Yongyi Wu Shiyue Xu Yusheng Wang Canzhao |
| Affiliation: | Chen Quanqiu1,Guo Yongyi1,2,Wu Shiyue1,Xu Yusheng3,Wang Canzhao1(1.College of Mining Technology,Taiyuan University of Technology,Taiyuan,Shanxi province 030024,China,2.Taiyuan University of Science , Technology,3.Sihe Coal Mine,Jicheng Coal Group,Jincheng,Shanxi province 048205,China) |
| Abstract: | Indicators reflecting the important characters of coal/gas outbursts such as maximum drill chips (S),drill chip analytical index (K1),initial velocity of gas outflow through drill hole (q0) and the coefficient of coal rigidity (f) are effectively combined with genetic algorithm via neural network to form a coal/gas outburst prediction model.With the help of the data and test results obtained on site,outburst danger is predicted.Results indicate that the combination of the two algorithms produces an effectiv... |
| Keywords: | prediction of the danger of coal/gas outburst characteristic indicator neural network genetic algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |