This research uses ANN to predict the cost management performance of construction projects. In the context of many interrelating complex factors influencing this outcome, the objective of this research is to develop an ANN model able to predict, with good accuracy, the cost management performance of a construction project. The research methodology applies the ANN model to survey data from 179 construction projects, including factors such as contractor experience, project complexity, resource availability, changes in requirements, project quality and quality control, use of technology and software, and risk management. The results of the research indicate that the ANN model has a very high accuracy in forecasting, with indicators such as MSE = 0.47978, MAE = 0.5837, and MAPE = 15.17%. As the two most influential factors on the outcome, in regard to changes in requirements and risk management, the relations of the project factors and forecast performance are clearly determined. They concluded that the ANN model is a good model for forecasting performances of cost management at a construction project and is widely applied to construction project management in optimizing cost.