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Comparison of Artificial Intelligence Techniques for Project Conceptual Cost Prediction
[article]
2019
arXiv
pre-print
Developing a reliable parametric cost model at the conceptual stage of the project is crucial for projects managers and decision-makers. Existing methods, such as probabilistic and statistical algorithms have been developed for project cost prediction. However, these methods are unable to produce accurate results for conceptual cost prediction due to small and unstable data samples. Artificial intelligence (AI) and machine learning (ML) algorithms include numerous models and algorithms for
arXiv:1909.11637v1
fatcat:fmqedswdzzegdfblyuukvq5le4