Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25304
Title: A general regression neural network model for construction equipment maintenance costs
Authors: Yip, HL
Fan, HQ 
Keywords: Construction equipment
General regression neural networks
Maintenance management
Time series analysis
Issue Date: 2012
Publisher: IEEE
Source: 2012 7th International Conference on Computing and Convergence Technology (ICCCT), 3-5 December 2012, Seoul, p. 1353-1357 How to cite?
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.
URI: http://hdl.handle.net/10397/25304
ISBN: 978-1-4673-0894-6
Appears in Collections:Conference Paper

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