| 兖州矿区立井井筒非采动破裂的非线性预测与判别方法 |
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| 引用本文： | 刘环宇, 李晓, 曾钱帮, 黄福昌, 陈祥军. 2005: 兖州矿区立井井筒非采动破裂的非线性预测与判别方法. 工程地质学报, 13(2): 231-235. |
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| 作者姓名： | 刘环宇 李晓 曾钱帮 黄福昌 陈祥军 |
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| 作者单位： | 1.河海大学,南京210093;;2.中国科学院工程地质力学重点实验室,北京100029;;3.兖州矿业集团有限公司,邹城273500;;4.石家庄铁道学院,石家庄050043 |
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| 基金项目： | 国家重点基础研究发展计划(973计划) |
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| 摘 要： | 厚冲积层立井井筒非采动破裂工程地质灾害是人类工程与自然环境相互作用的结果,该灾害的发生给煤矿造成巨大的经济损失,本文采用神经网络及模糊神经网络的方法对立井井筒破裂进行了预测与判别,预测与判别的结果表明,采用神经网络与模糊神经网络方法能够很好适用于立井井筒破裂的预测与判别,准确性高,能够满足实际应用的需要。
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| 关 键 词： | 立井井筒 非采动破裂 模糊神经网络 模糊化 非线性 |
| 文章编号： | 1004-9665/2005/13(02)-0231-05 |
| 收稿时间： | 2004-09-17 |
| 修稿时间： | 2004-09-17 |
THE NONLINEAR METHODS OF FORECAST AND JUDGMENT FOR SHAFT-LINING NON-MINING FRACTURE OF YANZHOU MINE |
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| LIU Huanyu, LI Xiao, ZENG Qianbang, HUANG Fuchang, CHEN Xiangjun. 2005: THE NONLINEAR METHODS OF FORECAST AND JUDGMENT FOR SHAFT-LINING NON-MINING FRACTURE OF YANZHOU MINE. JOURNAL OF ENGINEERING GEOLOGY, 13(2): 231-235. |
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| Authors: | LIU Huanyu LI Xiao ZENG Qianbang Huang Fuchang Chen Xiangjun |
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| Affiliation: | 1.Hohai University, Nanjing 210093;;2.Key laboratory of Engineering Geomechanics, Chinese Academy of Sciences, Beijing 100029;;3.Yanzhou Mining Group Limited Corporation, Zoucheng 273500;;4.Shijiazhuang Railway Institute, Shijiazhuang 050043 |
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| Abstract: | Shaft-lining non-mining fracture is a kind of engineering geological hazard, which results from interaction between human engineering and natural environment and could cause great economic losses. The neural network and the fuzzy neural network methods are used for forecasting and judgment of shaft-lining fractures. The results show that neural network and fuzzy neural network methods can accurately predict occurrences of fractures and meet the need of practical application. |
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| Keywords: | Shaft lining Non-mining fracture Fuzzy neural network Fuzzification Nonlinear |
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