基于对数变换的优化灰色模型在基坑沉降中的应用

结合青岛某火车站基坑沉降观测工程,本文运用灰色预测模型对其沉降数据进行处理,并对其未来趋势做出预测。传统灰色预测模型的优点是计算简单,但其与原始数据拟合程度较低,预测精度有时也不能满足要求。为了提高灰色模型的拟合和预测精度,本文对原始数据进行对数变换以提高原始数据序列的光滑度,并融入新陈代谢思想对模型做进一步优化。结果表明,优化后的模型预测精度较高,有较好的应用价值。

Application of Grey Model Based on Logarithmic Transformation in Settlement of Foundation Pit

Based on the observation project of foundation pit settlement of a railway station in Qingdao,the settlement data are processed by the grey prediction model and its future trend is predicted.Although the traditional method of grey prediction model is simple to calculate,its fitting precision and prediction precision are sometimes poor.In order to improve the fitting precision and prediction precision of the model,this paper performs logarithmic transformation on the original data to improve the smoothness of the original data sequence,and further optimizes the model by combining with the metabolic thought.The results show that the optimized model is reliable and has good application value.