神经网络在岩土工程观测数据优化中的应用

Application of neural network in majorization of geotechnical engineering observation data

利用人工神经网络独特的结构和处理信息的方法，以实际工程为背景，编制了岩土工程观测数据优化程序，结合德兴铜矿2号尾矿坝B－B测线浸润线观测实例进行分析研究，使得优化的结果与实际相吻合。

By making use of the unique structure and the technique of information process of artificial neural network, this paper, on the background of a practical engineering project, coded a majorization program for observation of geotechnical works. The studies and analyses on the in-situ monitored data on the percolation line of the measuring line B-B in the tail dam of Dexin Copper Mine show that the majorized results are well coincident with real situation.