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This study investigated innovative advancements in data mining and acquisition to develop data-driven estimating models using artificial neural networks (ANN) and multiple regression techniques to provide a flexible approach to the development of construction cost estimates at the earliest stages of a typical MDT construction project.

Final Report
Project Summary