Data quality issues that hinder the implementation of Artificial Neural Network (ANN) for cost estimation of construction projects in Malaysia

• Main Authors: Mohd Zammari, Alya Farhani, Ayob, Mohd Fairullazi
• Format: Article
• Language: English
• Published: Kulliyah of Architecture and Environmental Design, IIUM 2023
• Subjects: HA154 Statistical data; HE9719 Artificial satellite telecommunications; T Technology (General); T10.5 Communication of technical information; T173.2 Technological change; T175 Industrial research. Research and development; TA177.4 Engineering economy; TA501 Surveying; TH4021 Buildings. Construction with reference to use.
• Online Access: http://irep.iium.edu.my/105481/1/JAPCM%20NO.2%20OF%202023.pdf; http://irep.iium.edu.my/105481/; https://journals.iium.edu.my/kaed/index.php/japcm/article/view/731/589

The Artificial Neural Network (ANN), which is one of the Artificial Intelligence (AI) tools, has been identified as a great technique to be used for construction cost estimation in the project. With the optimum quality of data input into the ANN model, it could produce an optimum and reliable cost e...