| 基于模糊神经理论的深井煤层底板突水因素研究 |
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| 引用本文： | 孙明,张文泉,郭启忠,马凯. 基于模糊神经理论的深井煤层底板突水因素研究[J]. 湖南科技大学学报(自然科学版), 2011, 0(4): 5-10 |
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| 作者姓名： | 孙明 张文泉 郭启忠 马凯 |
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| 作者单位： | 内蒙古科技大学煤炭学院;山东科技大学资源与环境工程学院;山东新陶阳矿业有限责任公司; |
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| 基金项目： | 中国博士后基金项目(20090461257); 教育部春晖计划(Z2009-1-01052); 内蒙古自然科学基金项目(2009MS0904) |
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| 摘 要： | 深井煤层底板突水是一个复杂的水文地质力学系统,各影响因素共同作用、彼此关联和相互耦合.在“九因素学说”的基础上,笔者通过隶属函数和隶属度实现各因素数据的规范处理,选取相对保守合适的参数建立神经网络模型.选取深井回采面突水实例验证模糊神经模型,得到输入层、隐含层和输出层之间的权值系数矩阵,最终以绝对影响性系数衡量各个主控...
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| 关 键 词： | 深井煤层底板突水 规范处理 神经网络 贡献权重 |
Research on main influence factors of deep seam mining floor water-bursting based on combined fuzzy neural network |
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| SUN Ming,ZHANG Wen-quan,GUO Qi-zhong,MA Kai. Research on main influence factors of deep seam mining floor water-bursting based on combined fuzzy neural network[J]. Journal of Hunan University of Science & Technology(Natural Science Editon), 2011, 0(4): 5-10 |
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| Authors: | SUN Ming ZHANG Wen-quan GUO Qi-zhong MA Kai |
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| Affiliation: | SUN Ming1,ZHANG Wen-quan2,GUO Qi-zhong3,MA Kai1(1.School of coal science and Engineering,Inner Mongolia University of Science and Technology,Baotou 014010,China,2.College of Resources and Environmental Engineering,Shandong University of Science and Technology,Qingdao 266510,3.Shandong new Taoyang mining Company limited,Taian 271613,China) |
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| Abstract: | Deep seam mining floor water-bursting is a complex hydrological geomechanics system,whose influencing factors are combined action,in association and intercoupling each other.Based on nine factors theory,every factor's information data were normalized by the membership function or membership grade,then to choose the comparely proper and conserve network's paramater was used to build the FNN(fuzzy neural network) distinguishment model.Its reliability was tested by the engineering projects,the weight coefficie... |
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| Keywords: | deep seam mining floor water-bursting standard treatment neural network contribution weight |
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