Journal of Hebei University of Water Resources and Electric Engineering

Journal of Hebei University of Water Resources and Electric Engineering ›› 2023, Vol. 33 ›› Issue (1): 62-67.DOI: 10.16046/j.cnki.issn2096-5680.2023.01.011

• Project Management Column • Previous Articles     Next Articles

Research on Construction Cost Prediction of Construction Project Based on BSA-ELM Model

HONG Yu-juan   

  1. Finance and Economics Department of Economics, Heilongjiang University, 150000, Harbin, Heilongjiang, China
  • Received:2021-12-10 Revised:2022-07-07 Published:2023-10-26

基于BSA-ELM模型的建筑项目施工成本预测研究

洪玉娟   

  1. 黑龙江财经学院经济学院,黑龙江省哈尔滨市松北区学院路1230号 150000
  • 作者简介:洪玉娟(1980-),女,黑龙江哈尔滨人,讲师,研究方向为财务管理。E-mail:hongyujuan12@163.com
  • 基金资助:
    2021年度黑龙江省高等教育教学改革项目(SJGY2020210659),黑龙江省教育科学＂十四五”规划2022年重点课题(GJB1422541)

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Abstract: In order to reduce the management cost of construction projects and reduce the economic burden of enterprises, this study proposes a construction cost prediction model of construction projects based on BSA-ELM. Firstly, ELM neural network algorithm and BSA algorithm are introduced. Secondly, the ELM model is optimized by using the advantages of BSA algorithm, so as to form a prediction model based on BSA-ELM; Finally, the construction cost prediction model based on BSA-ELM is tested and compared with the traditional prediction model. The results show that the performance of BSA-ELM prediction model is better and the prediction accuracy is higher.

Key words: BSA-ELM prediction model, construction cost, BSA algorithm, ELM neural network algorithm

摘要： 为降低建筑施工项目的管理成本,提出一种基于BSA-ELM的建筑项目施工成本预测模型。首先介绍ELM神经网络算法和BSA算法;其次利用BSA算法的优势对ELM模型进行优化,从而形成一种基于BSA-ELM的预测模型;最后对基于BSA-ELM建筑项目施工成本预测模型进行测试,将其与传统的预测模型进行对比。结果证明,BSA-ELM预测模型的性能更好,预测精度更高。

关键词: BSA-ELM预测模型, 施工成本, BSA算法, ELM神经网络算法

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