摘要
利用线性回归思想构建了时间序列多项式函数和指数函数相结合的软土路基沉降预测模型。通过遗传算法估算模型参数的初始值,再利用MATLAB统计工具箱提供的函数nlinfit计算模型参数的最终值。工程实例预测结果表明所建模型具有良好的数据适应性,预测效果好于Logistic等曲线模型,为软土路基全过程沉降预测分析提供了一种新思路、新方法。
The prediction model of soft soil subgrade settlement by using linear regression theory to construct the combination of polynomial function and exponential function of time series was constructed. The initial values of the model parameters were estimated by genetic algorithm,and the final value of the parameters of the model was calculated by using the function MATLAB provided by the nlinfit statistical toolbox. The results of engineering examples showed that the model had good data adaptability,and the forecast results were better than the Logistic model.
出处
《工程质量》
2016年第5期63-66,共4页
Construction Quality
基金
兰州市科学技术局计划项目(兰财建发[2015]85号)
兰州石化职业技术学院科技资助项目(院发[2015]69号)
关键词
软土路基
多项式函数
指数函数
遗传算法
沉降预测
soft soil subgrade
polynomial function
exponential function
genetic algorithm
settlement prediction
