(中南大学 资源与安全工程学院, 长沙 410083)
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
关键字: RES理论； 模式判别； 人工神经网络； 岩体稳定性
（School of Resources and Safety Engineering,
Central South University, Changsha 410083, China）
Abstract: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.
Key words: RES approach; pattern recognition; artificial neural network; rock mass sta
