A Deep Neural Network Process for the Influenza Disease Nonlinear Mathematical Model
Ahmed Atef S. Bakhsh · Interciencia · 2024
The current investigations provide a stochastic deep neural network optimization procedure for the numerical solutions of the fractional order influenza disease system, which provide more realistic solutions of the model as compared to integer order derivatives. The mathematical influenza model is categorized into population of birds (susceptible, infected) and humans (susceptible, infected with avian and mutant strains,