基因表达式编程方法在变形监测数据处理中的应用探讨

针对变形监测数据处理中传统方法存在的的局限性,采用基因表达式深入分析变形监测中的数据。对某建筑物沉降数据进行了预测和检验分析。实验表明,与传统预测方法相比,GEP预测方法有效地减少了变形监测中数据的误差,克服了传统预测方法的不足,提高测量精度,从而尽可能减少变形数据对变形分析的影响。

For the traditional method of deformation monitoring data processing limitations, using gene expression data in-depth analysis of the deformation monitoring. A building settlement data to predict and test analysis. The experiments show that, compared to traditional forecasting methods, GEP prediction method to reduce the error of deformation monitoring data, to overcome the deficiencies of the traditional forecasting methods, to improve measurement accuracy, thus minimizing the deformation data for deformation analysis.