Develop an artificial neural network (ANN) model to predict construction projects performance in Syria

The purpose of this paper is to enable members of the construction project team to understand the factors which they must closely monitor to complete the project with the required performance. Therefore, the research aimed to develop an artificial neural network (ANN) model to predict construction project performance based on the above factors.

A group of (34) factors that affect the performance of the project has been identified based on practitioners' opinions. ANN was designed to predict the project performance model using seven inputs that represent six factors that were prioritized as the most influencing factors. The model showed the factors that affect project performance as follows: Coordination and commitment of project parties (30.9%), Schedule estimate (25.4%), Project team experience and availability (24.5 %), and Support from senior management (14.3%).

We concluded to design a model that predicts project performance based on previous influencing factors, as this model has a prediction accuracy of 96.1 % and an error of 3.9 %.