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Research on Investment Estimation of Prefabricated Buildings Based on Genetic Algorithm Optimization Neural Network

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成果类型:
期刊论文
作者:
Gao, Jin;Zhao, Wanhua
通讯作者:
Zhao, WH
作者机构:
[Gao, Jin; Zhao, WH; Zhao, Wanhua] Wuhan Polytech Univ, Sch Civil Engn & Architecture, Wuhan 430023, Peoples R China.
通讯机构:
[Zhao, WH ] W
Wuhan Polytech Univ, Sch Civil Engn & Architecture, Wuhan 430023, Peoples R China.
语种:
英文
关键词:
investment estimation;prefabricated buildings;genetic algorithms;BP neural networks
期刊:
Applied Sciences-Basel
ISSN:
2076-3417
年:
2025
卷:
15
期:
7
机构署名:
本校为第一且通讯机构
院系归属:
土木工程与建筑学院
摘要:
At present, China's prefabricated buildings have entered a period of comprehensive development. Starting from the investment decision-making stage of construction projects, this paper analyses the characteristics of prefabricated investment estimation and the relevant literature on the characteristics of prefabricated construction projects, uses the rough set attribute reduction algorithm to screen the key engineering characteristic factors, and establishes a BP neural network model optimized by genetic algorithm to estimate and analyze the investment of completed prefabricated construction pr...

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