Predicting construction labor productivity using lower upper decomposition radial base function neural network
Author:
Affiliation:
1. Department of Building, Civil and Environmental EngineeringConcordia University Montreal Quebec
2. Department of Electrical Engineering and Computer ScienceUniversity of Ottawa Ottawa Ontario
Publisher
Wiley
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/eng2.12107
Reference27 articles.
1. Fast static available transfer capability determination using radial basis function neural network
2. Estimating Labor Productivity Using Probability Inference Neural Network
3. Construction equipment productivity estimation using artificial neural network model
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3. Integrating operational and human factors to predict daily productivity of warehouse employees using extreme gradient boosting;International Journal of Production Research;2022-12-31
4. Development and comparative of a new meta-ensemble machine learning model in predicting construction labor productivity;Engineering, Construction and Architectural Management;2022-11-23
5. Modeling labor costs using artificial intelligence tools;International Journal of Building Pathology and Adaptation;2022-10-04
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