Predicting the maintenance cost of construction equipment: Comparison between general regression neural network and Box–Jenkins time series models

Author:

Yip Hon-lun,Fan Hongqin,Chiang Yat-hung

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference30 articles.

1. Construction Planning, Equipment and Methods;Peurifoy,2002

2. Construction Equipment Economics, How to Improve Fleet Management & Get the Most From Your Investment;Vorster,2009

3. A new method for the analysis of operating costs of construction equipment;Manatakis;International Journal of Production Economics,1993

4. Estimating life cycle plant maintenance costs;Edwards;Construction Management Economics,2000

5. A comparative analysis between the multilayer perceptron “neural network” and multiple regression analysis for predicting construction plant maintenance costs;Edwards;Journal of Quality in Maintenance Engineering,2000

Cited by 64 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A multi-criteria decision-making model for heavy construction equipment replacement in Saudi Arabia;Journal of Financial Management of Property and Construction;2024-05-17

2. Data analytics for project delivery: unlocking the potential of an emerging field;International Journal of Managing Projects in Business;2024-04-02

3. Predictive Construction Equipment Maintenance Using Neural Networks;Construction Research Congress 2024;2024-03-18

4. Predictive Maintenance for Construction Equipment using Artificial Intelligence and Machine Learning;International Journal of Advanced Research in Science, Communication and Technology;2023-12-31

5. Early Fast Cost Estimates of Sewerage Projects Construction Costs Based on Ensembles of Neural Networks;Applied Sciences;2023-11-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3