Predicting the Duration of Construction Projects Using Combined Fuzzy Artificial Neural Networks and Metaheuristic Algorithms

A delay is an action or occurrence that extends the time allotted in the contract to complete a certain task, either as an expansion of the activity's duration or a postponement of its start date. If the projects are not completed on time, some will lose their technical and economic basis, squandering public resources. This study has attempted to propose a project time prediction model utilizing a mix of fuzzy neural networks and genetic algorithms, considering many factors of engineering, labor, management, materials, employer, contractor, weather conditions, and time performance index. The MSE accuracy technique yielded a value of 0.37, while the RMSE accuracy method yielded a value of 0.61, indicating that the neural network is quite acceptable and useful for prediction.