摘要
针对输电线路工程前期项目比选种类多,造价估算偏差大,如何利用少量信息得到较准确工程造价的问题,结合BP神经网络算法构建了输电线工程造价预测模型。其以工程造价的影响因素作为BP神经网络的输入,通过3层网络结构,得到输电线路工程造价估计值。最后采用实际工程数据对提出的输电线工程造价预测模型进行实验仿真,得到的实验结果显示,该模型能准确估计工程造价,从而适合于评估工程前期比选方案的优劣。
In allusion to the problems of large deviation in cost estimation due to too many alternative schemes,and difficulty in obtaining more accurate project cost by using small amount of information in the early stage of power transmission line project,a cost prediction model for power transmission line project is constructed based on BP neural network. With the influence factors of project cost as the input of BP neural network,the estimated cost of the power transmission line project is obtained by using the three-layer network structure. The simulation experiment was carried out for the proposed cost prediction model of power transmission line project by using the actual project data. The experimental results show that the model can accurately estimate the project cost,which is suitable for evaluating the alternative schemes in the early stage of the project.
出处
《现代电子技术》
北大核心
2018年第2期79-82,共4页
Modern Electronics Technique
基金
国家自然科学基金青年基金项目(60902079)~~
关键词
输电线路
工程造价
BP神经网络
造价估算
预测模型
实验仿真
power transmission line
project cost
BP neural network
cost estimation
prediction model
experimental simulation
