摘要
针对传统建筑工程造价预测方法对复杂工程适应性差、预测结果缺乏准确性的问题,文中提出基于CS-SVM造价预测模型。通过对布谷鸟算法(CS)的了解,利用CS算法优化支持向量机(SVM),建立参数寻优能力优异的CS-SVM模型,对云计算项目造价数据进行了标准化处理,并确定了相应的输入变量,结合实例检验基于CS-SVM算法的BIM建筑工程造价预测模型应用效果。结果表明,CS-SVM模型的建筑工程造价预测结果较准确,预测结果可为工程造价管理提供依据,应用效果优于其他造价预测模型,具有推广价值,对建筑工程造价预测方法优化有指导意义。
Aiming at the problem of poor adaptability and inaccurate prediction results of traditional construction cost prediction methods for complex projects,a CS-SVM cost prediction model is proposed.By understanding the cuckoo algorithm(CS),optimizing the support vector machine(SVM)using CS algorithm,establishing a CS-SVM model with excellent parameter optimization ability,standardizing the processing of cloud computing project cost data,determining input variables,and combining examples to test the application effect of the BIM construction cost prediction model based on CS-SVM algorithm.The results show that the CS-SVM model has accurate construction cost prediction results,which can provide a basis for engineering cost management.Its application effect is better than other cost prediction models and has promotional value.This study has guiding significance for optimizing construction cost prediction methods.
作者
郝亚强
Hao Yaqiang(Zhongzhao Shenzhou Project Management Co.Ltd.,Taiyuan,Shanxi 030024)
出处
《江西建材》
2024年第12期466-469,共4页
作者简介
郝亚强(1980—),男,山西太原人,本科,工程师、建造师,主要研究方向为工程造价管理。
