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The Prospective of Artificial Neural Network (ANN��?s) Model Application to Ameliorate Management of Post Disaster Engineering Projects

Rasha A Waheeb1*, Kusay A Wheib2, Bjørn S Andersen3, Rafea Al-Suhiili4

We have found that it is important to conduct this study now, especially under COVID-19 or post disaster, or any other disasters whether they were natural or man-made, to recover from those disasters, crises and to mitigate those risks from societies as much as possible. Society and paralyzes its movement as occur with COVID-19 and focus on project risk management of all kinds digitally and remotely to mitigate crises and control the economy of countries from collapse. We should use the Artificial intelligence in the absence of a solution of problems facing all projects in all countries and work together on self-development first and then the development of information technology IT, continuous updating of what is happening in the world of developments and that crises generate innovation "the need is the cause of invention". This study deals with the use of Artificial Neural Networks (ANN's) to find a solution to problems and delays facing projects or in the absence of a physical or mathematical solution. The ANN model was used to build a model as a way to find a solution to the delay problems in projects, discusses the reconstruction strategies and delays in time and cost caused by different delay factors in some selected projects in Baghdad (as a case study). Selected projects crew and laborers were the main part to data collection through a survey and questionnaire forms filled by them