| 遗传规划在最大下沉值预测中的应用 |
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| 引用本文： | 翟淑花,高谦. 遗传规划在最大下沉值预测中的应用[J]. 煤炭学报, 2007, 32(3): 239-242 |
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| 作者姓名： | 翟淑花 高谦 |
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| 作者单位： | 北京科技大学,土木与环境工程学院,北京,100083;北京科技大学,土木与环境工程学院,北京,100083;北京科技大学,金属矿山高效开采与安全教育部重点实验室,北京,100083 |
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| 摘 要： | 基于Matlab语言编制的遗传规划程序，选取地面最大下沉值的主要影响因素，搜集学习样本对程序进行了训练，建立了地面最大下沉值预测的遗传规划模型，然后用测试样本对模型进行了测试.结果表明：相对误差在工程允许范围之内，模型的预测性能令人满意，遗传规划在公式发现中有其独特的优势，将其用于最大下沉值的预测中是可行的.
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| 关 键 词： | 遗传规划 开采沉陷 最大下沉值 |
| 文章编号： | 0253-9993(2007)03-0239-04 |
| 收稿时间： | 2006-07-24 |
| 修稿时间： | 2006-07-24 |
Application of genetic programming on predicting maximum surface subsidence due to mining |
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| ZHAI Shu-hua,GAO Qian. Application of genetic programming on predicting maximum surface subsidence due to mining[J]. Journal of China Coal Society, 2007, 32(3): 239-242 |
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| Authors: | ZHAI Shu-hua GAO Qian |
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| Abstract: | Based on genetic programming(GP) program in Matlab language,the main influencing factors of maximum surface subsidence were selected,GP program was trained using practical mining induced surface subsidence data,and then the maximum surface subsidence model of GP was set up,finally the GP model was tested by the test samples.Results show that the relative error is in the permission range of engineering,the predicting performance is satisfying,the advantage of GP in finding formula is striking,and it is feasible to use it in predicting of maximum surface subsidence due to mining. |
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| Keywords: | genetic programming mining induced surface subsidence maximum surface subsidence |
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