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| 基于BP神经网络的空洞型采空区稳定性评价研究 | |
| 引用本文： | 唐胜利,唐皓,郭辉.基于BP神经网络的空洞型采空区稳定性评价研究[J].西安科技大学学报,2012,32(2):234-238,258. |
| 作者姓名： | 唐胜利 唐皓 郭辉 |
| 作者单位： | 1. 西安科技大学地质与环境学院,陕西西安,710054 2. 长安大学地质工程与测绘学院,陕西西安,710054 3. 中国煤炭科工集团西安研究院,陕西西安,710054 |
| 摘 要： | 通过分析空洞型采空区稳定性的影响因素,依照BP神经网络原理,构建出适合空洞型采空区稳定性评价的BP神经网络模型。再通过收集到的空洞型采空区稳定性样本对所构建的BP神经网络进行训练,得出空洞型采空区稳定性评价BP神经网络模型,并应用检测样本测试其准确性。并以陕北讨老乌素煤矿采空区为例,应用训练好的BP神经网络模型对其进行预测评价,最终得到了与实际情况吻合的结果。 |
| 关 键 词： | 空洞型 采空区 BP神经网络 稳定性 评价 |
Stability evaluation of empty mine goaf based on BP neural network |
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| TANG Sheng-li , TANG Hao , GUO Hui.Stability evaluation of empty mine goaf based on BP neural network[J].JOurnal of XI’an University of Science and Technology,2012,32(2):234-238,258. | |
| Authors: | TANG Sheng-li TANG Hao GUO Hui |
| Institution: | 1.College of Geology and Environment,Xi’an University of Science and Technology,Xi’an 710054,China; 2.Shool of Geologe Engineering and Geomatics,Chang’an Unversity,Xi’an 710054,China;3.Xi’an Research Institute of China Coal Technology and Enineering Group.Corp,Xi’an 710077,China) |
| Abstract: | A BP neural network model for evaluation of stability of empty mine goaf was built based on the theory of BP neural network through analysis on the influence factors of empty mine goaf.The BP neural network model was trained by collected samples of empty mine goaf and the logical parameters of BP neural network were acquired and tested by the testing samples for accuracy.Taking Taolaowusu mine goaf as an example,through evaluating its stability with the trained BP neural network,the result identical with actual situation was got. |
| Keywords: | empty mine goaf BP neural network stability evaluation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |