ANN prediction model of final construction cost at an early stage
Previous studies developed models to predict final construction cost (FCC) values based on many inputs, which makes them difficult to use. However, relying on models with relatively few inputs will reduce the accuracy of the prediction results. This paper aims to develop an artificial neural network...
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| Main Authors: | Khalid S. Al-Gahtani, Abdullah M. Alsugair, Naif M. Alsanabani, Abdulmajeed A. Alabduljabbar, Abdulmohsen S. Almohsen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-03-01
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| Series: | Journal of Asian Architecture and Building Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/13467581.2023.2294883 |
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