预报秘密地开由的在挖掘上的一个方法用 Bayes 判别式分析(BDA ) ,理论被介绍。Bayes 判别式分析理论被介绍。基于一个设计例子,影响秘密地开的在挖掘上的因素被考虑造一个预报 BDA 模型,和秘密地开的在挖掘上的优先的信息也被考虑。影响开的在挖掘上的五个参数包括 2 组关节,在结构脸之间的 1 组层表面,延期和空间作为几何参数被选择。在秘密地开的工程数据被用作训练样品。交叉验证方法被介绍证实在 BDA 模型被训练以后, BDA 模型和错误辨别的比率的稳定性等于零。在秘密地设计的数据被用来测试 BDA 模型的判别式能力。结果证明五预报结果与实际状况是相同的, BDA 能在实际工程被使用。
A method to forecast the over-excavation of underground opening by using the Bayes discriminant analysis(BDA) theory was presented. The Bayes discriminant analysis theory was introduced. Based on an engineering example, the factors influencing the over-excavation of underground opening were taken into account to build a forecast BDA model, and the prior information about over-excavation of underground opening was also taken into consideration. Five parameters influencing the over-excavation of opening, including 2 groups of joints, 1 group of layer surface, extension and space between structure faces were selected as geometric parameters. Engineering data in an underground opening were used as the training samples. The cross-validation method was introduced to verify the stability of BDA model and the ratio of mistake-discrimination was equal to zero after the BDA model was trained. Data in an underground engineering were used to test the discriminant ability of BDA model. The results show that five forecast results are identical with the actual situation and BDA can be used in practical engineering.