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1 系统结构与功能 2 子系统 (以上见上期) 3 系统特点 3.1 实时预测地面沉降 随着隧道施工的不断进行,系统的数据量不断扩大,采用原传统的人工数据分析方法无法准确地分析出这些数据间的关系。神经网络处理信息的巨大能力和鲁棒性对系统的模型建立和大量数据分析提供了方便。 系统利用神经网络理论,根据已成环隧道施工时所设定的各类施工参数、地面沉降控制效果等有关信息资料,建立系统模型,实时预测现阶段或下
1 SYSTEM STRUCTURE AND FUNCTION 2 Subsystem (See last issue) 3 System Features 3.1 Real-time prediction of land subsidence With the continuous construction of the tunnel, the data volume of the system is constantly expanding. The original traditional manual data analysis methods can not accurately analyze these The relationship between data. The great ability and robustness of neural network to process information provide convenience for system modeling and data analysis. Based on the neural network theory, the system establishes the system model according to the information about the construction parameters, the control effect of ground subsidence and so on which have been set up in the completed tunnel,