| 神经网络法分析煤层瓦斯含量的影响因素 |
| |
| 引用本文： | 常全林. 神经网络法分析煤层瓦斯含量的影响因素[J]. 西北煤炭, 2009, 7(4) |
| |
| 作者姓名： | 常全林 |
| |
| 作者单位： | 神华蒙西煤化股份有限公司; |
| |
| 摘 要： | 用人工神经网络模型分析了影响因素对瓦斯含量的定量影响,结果表明:瓦斯含量随煤层底板标高值的减小而增大;随与最近剥蚀面间距离的增加而增大;顶板砂岩比越低,瓦斯含量越高;顶板岩性为泥岩时,瓦斯含量高,为砂岩时,瓦斯含量低;到断层距离(m)越大,瓦斯含量越高;煤厚越高,瓦斯含量越低。
|
| 关 键 词： | 瓦斯含量 人工神经网络 定量影响 |
Prediction of Gas Contents By Artificial Neural Network |
| |
| Chang Quanlin. Prediction of Gas Contents By Artificial Neural Network[J]. Northwest Coal, 2009, 7(4) |
| |
| Authors: | Chang Quanlin |
| |
| Affiliation: | Shenhua mengxi coal-mining co.ltd;Erdos Inner Mongolia;016014;China |
| |
| Abstract: | Back-propagation artificial neural network was developed to predict the gas contents."Leave-one out" method was used to train and vali-date the ANN model.Both scatter diagram and statistical criteria showed that the prediction performance is satisfactory. |
| |
| Keywords: | Gas Content Prediction Artificial Neural Network |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
