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- 1Construction labor productivity
- 1Construction labour productivity prediction
- 1Genetic algorithm
- 1Hybrid feature selection
- 1Principal component analysis
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Framework for integrating an artificial neural network and a genetic algorithm to develop a predictive model for construction labor productivity.
Download2020-01-01
Ebrahimi, Sara, Raoufi, Mohammad, Fayek, Aminah Robinson
Construction labor productivity (CLP) is one of the most important factors in the construction industry, as it has a direct effect on a company’s efficiency and profitability. The accurate prediction of CLP is essential for effective decision-making prior to project execution, and continuous...
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Predictive model for construction labour productivity using hybrid feature selection and principal component analysis
Download2022-01-01
Ebrahimi, Sara, Kazerooni, Matin, Sumati, Vuppuluri, Fayek, Aminah Robinson
Construction labour productivity (CLP) is affected by numerous variables made up of subjective and objective factors. Thus, CLP modelling and prediction are a complex task, leading to high computational cost and the risk of overfitting of data. This paper proposes a predictive model for CLP by...