| 基于模糊神经网络的煤层瓦斯含量预测研究 |
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| 引用本文： | 郝天轩,宋超. 基于模糊神经网络的煤层瓦斯含量预测研究[J]. 中国安全科学学报, 2011, 21(8) |
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| 作者姓名： | 郝天轩 宋超 |
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| 作者单位： | 1. 河南省瓦斯地质与瓦斯治理重点实验室一省部共建国家重点实验室培育基地,河南焦作454000;河南理工大学安全科学与工程学院,河南焦作454000
2. 河南理工大学安全科学与工程学院,河南焦作,454000 |
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| 基金项目： | 河南省2010年重点科技攻关项目，河南省高等学校青年骨干教师资助计划，河南理工大学博士基金 |
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| 摘 要： | 为提高未采区煤层瓦斯含量预测的准确性,在分析研究影响煤层瓦斯含量的主要地质因素的基础上,借助模糊数学作为表达与处理不精确数据、模糊信息的手段,以神经网络作为解决问题的途径,将模糊数学与神经网络有机结合,建立基于模糊神经网络的煤层瓦斯含量预测模型。研究结果表明:模糊神经网络模型不仅能够较好地解决模糊信息难于定量表达、学习样本难于确定等问题,而且能够较准确地提取出煤层瓦斯含量与其各个影响因素之间的非线性关系。通过实例运算验证,其预测精度较神经网络模型提高了4.84%～25.79%,应用于煤层瓦斯含量预测的效果更为理想,具有良好的应用前景,可以为实施科学的矿井瓦斯管理、预防各种瓦斯事故提供理论依据。
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| 关 键 词： | 煤层瓦斯含量 预测 非线性 模糊数学 模糊神经网络 |
Study on Prediction of Coal Seam Gas Content Based on Fuzzy Neural Network |
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| HAO Tian-xuan,SONG Chao. Study on Prediction of Coal Seam Gas Content Based on Fuzzy Neural Network[J]. China Safety Science Journal, 2011, 21(8) |
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| Authors: | HAO Tian-xuan SONG Chao |
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| Affiliation: | HAO Tian-xuan1,2 SONG Chao2(1 State Key Lab Cultivation Base,Henan Province Key Lab of Gas Geology & Gas Control,Jiaozuo Henan454000,China 2 School of Safety Science and Engineering,Henan Polytechnic University,China) |
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| Abstract: | In order to accurately forecast coal seam gas content,a coal seam gas prediction model based on fuzzy mathematics and neural network is built by analyzing the main geological factors influencing coal seam gas content.In this model,the fuzzy mathematic is used to quantify and deal with fuzzy information,and the neural network is used as the solution to the problem.The study results show that the fuzzy neural network model can not only be a good way to solve such problems that fuzzy information is hard to qua... |
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| Keywords: | coal seam gas content forecast nonlinearity fuzzy mathematic fuzzy neural network |
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