A General Regression Neural Network model for construction equipment maintenance costs

H. L. Yip; Hongqin Fan

A General Regression Neural Network model for construction equipment maintenance costs

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

This paper presents a time series analysis based on General Regression Neural Networks (GRNN) models to address the prediction of construction equipment maintenance costs. The results show that GRNN can model the behaviour and predict the maintenance costs for different equipment categories and fleet with satisfactory accuracy. The paper also discusses the effects of incorporation of the parallel fuel consumption data as explanatory time series to modelling performance.

Original language	English
Title of host publication	Proceedings - 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012
Pages	1353-1357
Number of pages	5
Publication status	Published - 1 Dec 2012
Event	2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012 - Seoul, Korea, Republic of Duration: 3 Dec 2012 → 5 Dec 2012

Conference

Conference	2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012
Country/Territory	Korea, Republic of
City	Seoul
Period	3/12/12 → 5/12/12

Keywords

Construction equipment
General regression neural networks
Maintenance management
Time series analysis

ASJC Scopus subject areas

Computer Science Applications
Software

Cite this

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title = "A General Regression Neural Network model for construction equipment maintenance costs",

abstract = "This paper presents a time series analysis based on General Regression Neural Networks (GRNN) models to address the prediction of construction equipment maintenance costs. The results show that GRNN can model the behaviour and predict the maintenance costs for different equipment categories and fleet with satisfactory accuracy. The paper also discusses the effects of incorporation of the parallel fuel consumption data as explanatory time series to modelling performance.",

keywords = "Construction equipment, General regression neural networks, Maintenance management, Time series analysis",

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booktitle = "Proceedings - 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012",

note = "2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012 ; Conference date: 03-12-2012 Through 05-12-2012",

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Yip, HL & Fan, H 2012, A General Regression Neural Network model for construction equipment maintenance costs. in Proceedings - 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012., 6530551, pp. 1353-1357, 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012, Seoul, Korea, Republic of, 3/12/12.

A General Regression Neural Network model for construction equipment maintenance costs. / Yip, H. L.; Fan, Hongqin.
Proceedings - 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012. 2012. p. 1353-1357 6530551.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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A General Regression Neural Network model for construction equipment maintenance costs

Abstract

Conference

Keywords

ASJC Scopus subject areas

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