Modeling typhoid dynamics using recurrent neural networks with Bayesian regularization.

The current research provides the numerical investigation of the epidemic typhoid model by using the stochastic artificial intelligence-based recurrent neural network. The typhoid system has five different categories: the susceptible, the carrier, th…

Preview only. Read the full abstract at the source