Using Artificial Neural Network Model to Prediction the Number of Peoples Afflicted by the Epidemic of (COVID-19) in Iraq

Time-series prediction is an important statistical topic to help researchers in planning and making the right decisions, so this study deals with modern methods, represented by Artificial Neural Network models, specifically multi-layered neural network, back propagation algorithm has been relied upon several times for training less selection. A value error obtain best model describing data, as well classic methods such Box- Jenkins' was applied real data number of people infected Coronavirus (Covid-19) Iraq period from 2/24/2020 until 3/5/ 2020 On a daily basis, results showed that future predictions began decline then stabilized (30-67). The were analyzed extracted depending on program R.