科技创新与应用2024，Vol.14Issue(18)：153-156,4.DOI:10.19981/j.CN23-1581/G3.2024.18.035
基于BP神经网络的公共建筑工程造价预测研究
陈懂娟1
作者信息
- 1. 临夏州盛河城投工程管理咨询有限责任公司,甘肃 临夏州 731100
- 折叠
摘要
Abstract
Public construction cost prediction is an important basis for project feasibility analysis and a key reference for comparison and selection of design schemes.therefore,the accuracy and validity of cost prediction results have an important impact on project investment decision-making.In order to solve the disadvantages of large error and poor timeliness of traditional cost prediction methods,this paper puts forward a fast prediction method of public construction cost based on BP neural network,analyzes the influence factors of public building cost prediction,introduces the principle and feasibility of BP neural network forecasting cost,gives the construction method of BP neural network forecasting model,and simulates and analyzes the application effect of BP neural network forecasting cost model.Through model simulation analysis and evaluation,it is proved that BP neural network has good advantages in public construction cost prediction,and the prediction result is more accurate and faster than the traditional cost prediction method.关键词
BP神经网络/公共建筑/工程造价/造价预测/预测模型Key words
BP neural network/public building/project cost/cost prediction/prediction model分类
建筑与水利引用本文复制引用
陈懂娟..基于BP神经网络的公共建筑工程造价预测研究[J].科技创新与应用,2024,14(18):153-156,4.
