Optimization of Coronavirus Pandemic Model Through Artificial Intelligence

Artificial intelligence is demonstrated by machines, unlike the natural displayed animals, including humans. research has been defined as field of study intelligent agents, which refers to any system that perceives its environment and takes actions maximize chance achieving goals. The techniques computing solve many applications mathematical modeling. work was designed via a particular method artificial neural networks model coronavirus. representation made systems nonlinear ordinary differential equations. These equations are established collecting susceptible, exposed, symptomatic, super spreaders, infection with asymptomatic, hospitalized, recovery, fatality classes. generation coronavirus model’s dataset exploited strength explicit Runge Kutta for different countries like India, Pakistan, Italy, more. generated approximately used training, validation, testing processes each cyclic update in Bayesian Regularization Backpropagation numerical treatment dynamics desired model. performance effectiveness methodology checked through mean squared error, error histograms, solutions, absolute regression analysis.