江西建材Issue(12)：451-453,456,4.
基于岭回归优化算法的市政桥梁工程造价预测模型
Municipal Bridge Project Cost Prediction Model Based on Ridge Regression Optimization Algorithm
李文妮1
作者信息
- 1. 深圳综合交通与市政工程设计研究总院有限公司,广东 深圳 518000
- 折叠
摘要
Abstract
In order to accurately predict the cost of bridge engineering,a prediction model of municipal bridge engineering cost was established by ridge regression optimization algorithm based on the cost data of physical engineering,and the model was verified.The results show that the correlation between prestressed concrete T beam,pile foundation,cap,pier engineering quantity,main material consumption and bridge engi-neering cost is the most significant.The R2 coefficient of the bridge cost prediction model constructed by using the above variables is 0.989,the significance level F is 97.821,and the average relative error between the predicted value and the true value is 5.5%,indicating that the prediction accuracy of the model is good.The total cost of municipal bridge project can be optimized by reasonable control of T-beam engineer-ing quantity,pile foundation,cap engineering quantity,pier engineering quantity and main material consumption.关键词
岭回归优化算法/工程造价/预测模型Key words
Ridge regression optimization algorithm/Project cost/Prediction model分类
建筑与水利引用本文复制引用
李文妮..基于岭回归优化算法的市政桥梁工程造价预测模型[J].江西建材,2024,(12):451-453,456,4.
