Engineering Project Management Modeling Using Artificial Neural Networks

Abstract

Performance evaluation of the comprehensive management level of engineering projects is advantageous case of study. Benefited from constructive and fluctuant of artificial neural networks (ANN) and based on their self-study, self-adjustment and nonlinear mapping (activation) function of the ANN inputs to outputs the performance evaluation model of engineering project management was established. Compared with conventional method, the influence of human factor is eliminated, thus the correctness of the measured results is increased. Different model structures were discussed with different ANN parameters and satisfactory results were concluded giving a new approach to evaluate the engineering project management.

Keywords: ANN structure, training rate, training time, activation function, performance evaluation.