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·
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.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2000年第6期630-633,共4页
Journal of Northeastern University(Natural Science)
基金
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
