The Role of Artificial Neural Networks (ANN) in Construction Project Management

Abstract

This study indicates to the importance of linking between technology and management, due to the role in improving the quality of the decision making, especially in exceptional and emergency circumstances. however, based on the critical stage which the country is witnessing, the stage of reconstruction It was directed to study the infrastructure and how to manage it, so that we can later practice various activities and events with high efficiency and effectiveness, through the use of artificial neural networks and training them by PSO to perform digital circuits using xilinx FPGA, but the amount of circuits required to implement the process of multiplying each input, the weight associated with it and its subsequent summation process is one of the main obstacles to the implementation of ANN circuits, therefor it has been proposed the weights of artificial neural networks using the preference of PSO as a mechanism to improve the performance of artificial neural networks. in addition to reducing the circuits needed to build networks. The researcher concluded that it is necessary to apply one of the most important methods of artificial intelligence, represented by artificial neural networks, in order to manage construction projects by using the xilinx diagramming tools as an example of a digital circuit implementation using artificial neural networks that are motorized by PSO.