背景值智能修正的基坑变形灰色预测模型

Grey forecast model of foundation pit deformation based on intelligently correcting background value

针对基坑变形数据的特点,提出了背景值智能修正的基坑变形灰色预测模型。本文分析了传统灰色模型背景值构造方法存在的问题,并在该分析基础上,详细阐述了模型的构造思路,最后利用C#语言对该模型进行了编程实现和工程应用实践。该模型对某基坑变形预测的应用实践表明,该模型能削弱传统灰色模型固有误差,提高模型预测精度,具有较高的准确性和可靠性,能够应用于工程实践,具有较大实用价值。

According to the data characteristics of the foundation pit deformation, the idea of using the grey forecast model of intelligently correcting background value to improve foundation pit＇ s deformation forecast is proposed. The exiting problems in constructing background value for traditional gray model was analyzed in this paper, and based on the analysis, the thinking for building model was elucidated in details, and finally, the model was fulfilled with the C # programming language and practiced in engineering practice. The application practice for predicting the deformation of foundation pit shows that the model can weaken the inherent errors of traditional gray model and improve model prediction accuracy, has a rather high accuracy and reliability, can be applied to engineering practice with good performance.