模糊遗传规划方法在预测深部开采岩体移动中的应用

Application of Fuzzy-GP Method in Prediction of Rock Mass Displacement due to Deep Mining

运用模糊(Fuzzy)系统理论,给出了地下深部开采岩体移动变形预测分析的Fuzzy模型,对岩体移动参数采用遗传规划(GP)方法进行确定,进而形成了模糊遗传规划方法。用工程实测数据对遗传规划网络进行了训练,并用测试样本对GP模型进行了测试,证明了模型的预测性能是令人满意的。通过工程实例计算分析表明,采用本文提出的模糊遗传规划方法所获结果符合工程实际。

In this pape, the fuzzy models of prediction and analysis for rockmass displacement and deformation are given by using fuzzy theory. And genetic programming （GP） model is proposed to determine the parameter of rock mass displacement and deformation. So, the Fuzzy-GP method is formed. GP is trained by used practical mining induced surface subsidence data. And then, genetic programming is used to make predication for the existed examples and the prediction was compared with the measurement. The comparison results show that the proposed Fuzzy-GP method is valid and applicable in predicting surface movement due to deep underground mining.