| 基于数据挖掘的深部采场岩爆知识的自动获取 |
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| 引用本文： | 马平波,冯夏庭,张治强,刘艳超,陈廷伟.基于数据挖掘的深部采场岩爆知识的自动获取[J].东北大学学报(自然科学版),2000,21(6):630-633. |
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| 作者姓名： | 马平波 冯夏庭 张治强 刘艳超 陈廷伟 |
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| 作者单位： | 东北大学资源与土木工程学院!辽宁沈阳110006;东北大学资源与土木工程学院!辽宁沈阳110006;东北大学资源与土木工程学院!辽宁沈阳110006;东北大学资源与土木工程学院!辽宁沈阳110006;东北大学资源与土木工程学院!辽宁沈阳110006 |
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| 基金项目： | 霍英东教育基金会! (710 48)，国家重点基础研究发展规划资助项目 |
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| 摘 要： | 将岩石力学和人工智能相结合,提出了深部采场岩爆风险估计知识自学习的一种新方法·它利用数据挖掘的方法从岩爆实例数据中挖掘出知识,并在此基础上建立了岩爆风险估计的智能系统·从而可以根据获得的现场测试和监测资料,综合估计深部采场因开采而诱发的岩爆风险·
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| 关 键 词： | 数据挖掘 专家系统 岩爆风险估计 深部开采 知识自学习 |
| 修稿时间： | : |
Self-Extraction of Rockburst Knowledge of Mining at Great Depth Using Data Mining |
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| MA Ping-bo,FENG Xia-ting,ZHANG Zhi-qiang,LIU Yan-chao,CHEN Ting-wei.Self-Extraction of Rockburst Knowledge of Mining at Great Depth Using Data Mining[J].Journal of Northeastern University(Natural Science),2000,21(6):630-633. |
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| Authors: | MA Ping-bo FENG Xia-ting ZHANG Zhi-qiang LIU Yan-chao CHEN Ting-wei |
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| Abstract: | Rockburst induced by mining at great depth is very complicated and affected by many factors. A new method for self extration of knowledge for assessing rockburst risks induced by mining was proposed with thoughts of rock mechanics and artificial intelligence. Knowledge is extracted from data cases and combined to the integrated intelligent system on rockburst risk assessment developed before. Therefore, this system can be used to assess reasonably risks of rockburst induced by mining using monitored information in site. |
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| Keywords: | data mining expert system rockburst risk assessment mining at great depth self extraction of knowledge |
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