基于因子分析和BP神经网络的地铁盾构施工成本风险分析

基于中国地铁盾构施工过程中成本风险的不易控性,为了实现地铁盾构施工节约成本、规避风险的目的,提出了因子分析与BP神经相结合的成本风险分析模型。运用SPSS软件对数据进行降维处理,结合MATLAB软件建立BP神经网络模型并进行训练,完成对地铁盾构施工阶段的成本风险评价。结合兰州地铁1号线施工过程的成本风险分析,得出对成本风险影响程度大的变量,并提出相应改进措施。为地铁盾构施工阶段的成本风险分析提供了一种较为客观的评价方法。

Cost Risk Analysis of Metro Shield Construction Based on Factor Analysis and BP Neural Network

The cost of domestic metro shield construction process risk is not easy to control, in order to achieve the objective of metro construction cost savings, risk aversion, this paper puts forward the factor analysis and BP neural combining cost risk analysis model. The SPSS software is used to reduce the dimension of the data, and the BP neural network model is established and trained with MATLAB software. The cost risk evaluation of the subway shield construction stage is completed. Combined with the cost risk analysis of the construction process of Lanzhou Metro Line 1, the variables affecting the cost risk are obtained, and the corresponding improvement measures are put forward. Provides a more objective evaluation method for cost risk analysis of subway shield construction stage.