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基于GS-SVR的架空输电线路工程投资估算预测研究

高妍方 戴小建 李利生

山东建筑大学学报2024,Vol.39Issue(2):38-43,6.
山东建筑大学学报2024,Vol.39Issue(2):38-43,6.DOI:10.12077/sdjz.2024.02.005

基于GS-SVR的架空输电线路工程投资估算预测研究

Investment estimation forecast of overhead transmission line project based on GS-SVR

高妍方 1戴小建 1李利生2

作者信息

  • 1. 山东建筑大学 管理工程学院,山东 济南 250101
  • 2. 国网山东省电力公司 经济技术研究院,山东 济南 250101
  • 折叠

摘要

Abstract

The prevalent traditional mode of investment estimation exhibits an overreliance on fixed quotas.With a substantial accumulation of engineering cost data,addressing this issue by utilizing this data for investment estimation becomes a pressing need for construction entities,aiming to rectify the shortcomings of the traditional quota-based pricing model.Rational investment estimation can play a crucial role in overall control for construction projects.This paper,using the overhead transmission line project as an illustration,employs Support Vector Regression(SVR)to delve into the investment estimation predicament.The research involves selecting key indicators affecting the investment estimation of overhead transmission line project.Subsequently,a model for investment estimation is constructed based on SVR,and the improved Grid Search(GS)is employed to optimize the parameters of the investment estimate model,resulting in the GS-SVR investment estimation model.The results reveal that the GS-SVR model exhibits commendable performance compared to traditional linear regression and SVR models.

关键词

架空输电线路工程/支持向量回归机/网格搜索法/投资估算

Key words

overhead transmission line project/Support Vector Regression/Grid Search/investment estimation

分类

建筑与水利

引用本文复制引用

高妍方,戴小建,李利生..基于GS-SVR的架空输电线路工程投资估算预测研究[J].山东建筑大学学报,2024,39(2):38-43,6.

基金项目

山东省自然科学基金面上项目(ZR2021MG054) (ZR2021MG054)

山东建筑大学学报

1673-7644

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