Construction Crew Productivity Prediction: Application of Two Novel Methods

Various methods have been applied to the construction crew productivity problem. This paper introduces the use of two novel artificial intelligent methods; which are self organizing maps (SOM) and artificial bee colony (ABC). It first presents the results of prediction performances of these two methods and also focuses on the visualization ability of SOM through the presentation of two dimensional maps produced for the current problem. The prediction performances are evaluated by comparing MAPE, MAE and MSE values obtained during the sevenfold cross validation.