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Artificial Neural Network (ANN) application for cost estimation of construction projects in Malaysia: a study on quality of data

Mohd Zammari, Alya Farhani and Ayob, Mohd Fairullazi (2022) Artificial Neural Network (ANN) application for cost estimation of construction projects in Malaysia: a study on quality of data. In: QS Symposium 2022: Invention & Innovation Research Poster Competition, 22nd October 2022, Royal Institution of Surveyors Malaysia. (Unpublished)

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Abstract

The Artificial Neural Network (ANN), is one of the Artificial Intelligence (AI) tools. It is a great technique that can be applied in the construction project cost estimation to solve classification, prediction, and regression problems (Juszczyk, 2017). ANN is data-driven and is considered sensitive to input data (Tayefeh Hashemi et al., 2020). The ANN relies on the data input to execute tasks like prediction. Thus, to produce the best and most reliable cost estimation output, the best quality of data are required as input into ANN model. The Malaysian construction industry faces a lack of access, accuracy, breadth, and depth of industry data. Although open-data popularity has increased, the problem with data quality remained unresolved (Nikiforova, 2020). The aim of the study is to investigate the quality of data for the implementation of Artificial Neural Networks (ANN) for cost estimation of construction projects in Malaysia

Item Type: Conference or Workshop Item (Poster)
Additional Information: 6985/101186
Uncontrolled Keywords: Cost, estimation, data, Artificial Neural Network (ANN)
Subjects: T Technology > T Technology (General)
T Technology > T Technology (General) > T173.2 Technological change
T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering.
T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering. > T58.5 Information technology
T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering. > T58.6 Management information systems
T Technology > TA Engineering (General). Civil engineering (General) > TA177.4 Engineering economy
T Technology > TA Engineering (General). Civil engineering (General) > TA190 Management of engineering works
T Technology > TA Engineering (General). Civil engineering (General) > TA501 Surveying
T Technology > TH Building construction
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Architecture and Environmental Design > Department of Quantity Surveying
Depositing User: IR. DR. MOHD FAIRULLAZI AYOB
Date Deposited: 02 Dec 2022 16:56
Last Modified: 02 Dec 2022 16:56
URI: http://irep.iium.edu.my/id/eprint/101186

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