| 最大下沉角计算的神经网络模型研究 |
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| 引用本文： | 柴华彬,邹友峰,郭文兵.最大下沉角计算的神经网络模型研究[J].煤炭科技,2009(1). |
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| 作者姓名： | 柴华彬 邹友峰 郭文兵 |
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| 作者单位： | 河南理工大学,测绘与国土信息工程学院,河南,焦作,454003 |
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| 基金项目： | 国家自然科学基金，河南省教育厅科技攻关项目 |
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| 摘 要： | 最大下沉角是确定地表移动盆地走向主断面位置的关键性参数,关系到地表移动和变形预计的精度.系统分析了影响最大下沉角的地质采矿因素,根据国内大量的地表移动观测资料,建立了最大下沉角计算的神经网络模型.该模型与遗传算法相结合,克服了单一神经网络易陷入局部最优和收敛速度慢等缺点.研究表明,用基于遗传算法的神经网络来计算地表移动盆地的最大下沉角,其结果更加真实、可靠.
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| 关 键 词： | 最大下沉角 遗传算法 神经网络 开采沉陷 |
Determining angle of maximum subsidence based on neural network |
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| CHAI Hua-bin,ZOU You-feng,GUO Wen-bing.Determining angle of maximum subsidence based on neural network[J].Coal Science & Technology Magazine,2009(1). |
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| Authors: | CHAI Hua-bin ZOU You-feng GUO Wen-bing |
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| Affiliation: | School of Surveying and Land Information Engineering;Henan Polytechnic University;Jiaozuo 454003;China |
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| Abstract: | Angle of maximum subsidence,which is important to determine the position of the major cross-section of subsidence basin along strike,affects the prediction precision of the surface displacement and strain.The geological and mining factors that influence the angle of maximum subsidence are systematically analyzed;Based on the practical observational data from the ground movement monitoring stations of many mines in China the neural network model is developed to determine the angle of maximum subsidence.The c... |
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| Keywords: | angle of maximum subsidence genetic algorithm neural network mining subsidence |
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