基于RES理论的岩体失稳模式判别及其智能实现  

Pattern recognition and its intelligent realization of probable rock mass failure based on RES approach

作　　者：郭立[1] 吴爱样[1] 周科平[1] 姚振巩[1] 

机构地区：[1]中南大学资源与安全工程学院,长沙410083

出　　处：《中国有色金属学报》2003年第3期749-753,共5页The Chinese Journal of Nonferrous Metals

基　　金：国家自然科学基金资助项目 (5 0 0 740 34);高等学校优秀青年教师教学科研奖励计划资助项目

摘　　要：基于完全耦合模型解决复杂岩石力学问题的方法论———岩石工程系统理论 (RES)的基本原理 ,构造了地下工程岩体失稳模式判别的智能预测模型 ,并采用具有自学习、非线性映射和数据挖掘功能的模糊自组织人工神经网络模型ANN来实现RES交互作用矩阵的编码。通过一个实例说明这种方法具有良好的实用性。The basic principles of a methodology, namely rock engineering system (RES) approach was introduced, which is based on a fully coupled model to settle complex rock mechanics problems. An intelligent prediction model to identify probable failure of rock mass was constructed, in which a fuzzy self-recognizing artificial neural network (ANN) was applied with the function of self-learning, nonlinear and data mining to identify probable failure of rock mass. The analysis of an engineering example fully proves RES approach is very useful in practice.

关 键 词：RES理论 模式判别 人工神经网络 岩体稳定性 岩石工程系统理论 

分 类 号：TD325[矿业工程—矿井建设]