A comparative analysis of LSTM, GRU, and Transformer models for construction cost prediction with multidimensional feature integration
Construction cost prediction remains a complex challenge due to the multidimensional nature of construction data and external factors. The objective of this study is to identify the most effective deep learning model for accurately predicting construction costs by comparing the performance of LSTM,...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-01-01
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| Series: | Journal of Asian Architecture and Building Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/13467581.2025.2455034 |
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