摘要
为有效确定影响道路造价的关键因素,设计采用一种基于中心性的关键因素筛选方法,并基于BP神经网络模型分析了道路工程造价的影响因素。
In order to effectively determine the key factors that affect the road cost, a key factor screening method based on centrality is designed and the factors affecting the cost of road engineering are analyzed based on the BP neural network model.
引文
[1]Wang F,Zheng Z L,Guo J J,et al.Based on the model of BP neural network to predict the project cost of highway[J].Journal of Hebei University of Engineering,2014.
[2]Fen L I,Tang H.Cost Prediction of Highway Bridge in Mountain Area Based on BP Neural Networks[J].Journal of Civil Engineering&Management,201 1.
[3]郝艳芬,张军朝,陈俊杰,等.基于BP神经网络的市政工程造价预估研究[J].太原理工大学学报,2012,43(6):732-735.
[4]陈蓉.市政工程造价预估的建模与仿真[J].系统仿真技术,2017,13(1):43-46.
[5]彭军龙,张起森.基于神经网络的公路工程造价快速估算分析[J].工程造价管理,2005,22(6):42-44.
[6]王运霞,刘志强,黄成.基于BP神经网络的路基工程投资估算模型[J].中外公路,2008,28(2):66-68.
[7]杨凌雁.基于GRA与BP神经网络的工程造价预测模型研究[D].武汉科技大学,2015.
[8]杨锦跃.基于BP神经网络的建筑工程造价预测研究[D].浙江大学,2015.
[9]李驰宇,李远富,梁东.基于人工神经网络的交通运量预测[J].交通运输研究,2005(8):130-132.