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    Utilising artificial neural networks (ANNs) towards accurate estimation of life-cycle costs for construction projects

    235324_Alqahtani 2015.pdf (12.14Mb)
    Access Status
    Open access
    Authors
    Alqahtani, Ayedh Mohammad A
    Date
    2015
    Supervisor
    Prof. Hamid Nikraz
    Dr Andrew Whyte
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    School
    Department of Civil Engineering
    URI
    http://hdl.handle.net/20.500.11937/2354
    Collection
    • Curtin Theses
    Abstract

    This study aimed to establish a new model of Life Cycle Cost (LCC) for construction projects using Artificial Neural Networks (ANNs). Survey research and Costs Significant Items (CSIs) methods were conducted to identify the most important cost and non-cost factors affecting the estimation of LCC. These important factors are considered as input factors of the model. The results indicated that neural network models were able to estimate the cost with an average accuracy between 91%-95%.

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