| 复杂充填体下矿体开采安全顶板厚度非线性预测方法 |
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| 引用本文： | 周科平,苏家红,古德生,史秀志,向仁军.复杂充填体下矿体开采安全顶板厚度非线性预测方法[J].中南大学学报(自然科学版),2005,36(6):1094-1099. |
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| 作者姓名： | 周科平 苏家红 古德生 史秀志 向仁军 |
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| 作者单位： | 中南大学,资源与安全工程学院,湖南,长沙,410083 |
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| 基金项目： | 国家自然科学基金重点资助项目（50490270）;国家科技攻关项目（2003BA612A-10） |
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| 摘 要： | 以广西大厂铜坑矿92号矿体的回采为例, 在分析评价传统方法的基础上, 采用数值模拟方法对采场顶板的破坏机制进行模拟, 分析研究顶板安全厚度与各影响因素之间的关系;采用具有高度非线性、自学习、动态处理、联想记忆、容错性等特征的人工神经网络, 在数值模拟的基础上, 建立安全顶板厚度非线性神经网络预测模型. 实际应用结果表明, 顶板安全厚度的预测结果与实际结果很接近.
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| 关 键 词： | 顶板安全厚度 数值模拟 神经网络 广西大厂铜坑矿 |
| 文章编号： | 1672-7207(2005)06-1094-06 |
| 收稿时间： | 2005-01-12 |
| 修稿时间： | 2005年1月12日 |
The nonlinear forecasting method of the least security coping thickness when mining under complex filling body |
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| ZHOU Ke-ping,SU Jia-hong,GU De-sheng,SHI Xiu-zhi,XIANG Ren-jun.The nonlinear forecasting method of the least security coping thickness when mining under complex filling body[J].Journal of Central South University:Science and Technology,2005,36(6):1094-1099. |
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| Authors: | ZHOU Ke-ping SU Jia-hong GU De-sheng SHI Xiu-zhi XIANG Ren-jun |
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| Institution: | School of Resources and Safety Engineering, Central South University, Changsha 410083, China |
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| Abstract: | Based on the mining of No. 92 copper ore body in Dachang and the traditionary analysis methods, the failure mechanism was simulated by numerical simulation methods and the relationships were studied between the least security coping thickness in mined area and various influencing factors. Artificial neural networks with the characters of high linearity, self-learning, dynamic processing, associative memory and fault tolerance, etc were adopted. On the basis of numerical simulation, nonlinear artificial neural network prediction model was set up. The forecasting results of least security coping thickness are very close to the real ones. |
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| Keywords: | the least security coping thickness numerical simulation neural network copper in Dachang Guangxi |
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