Numerical Computational Heuristic Through Morlet Wavelet Neural Network for Solving the Dynamics of Nonlinear SITR COVID-19

Zulqurnain Sabir,Muhammad Asif Zahoor Raja,Abeer S Alnahdi,Mohamed A Abdelkawy,Mdi Begum Jeelani,Muhammad Mubashar Hussain,Dumitru Baleanu

doi:10.32604/cmes.2022.018496

Abstract

The present investigations are associated with designing Morlet wavelet neural network (MWNN) for solving a class of susceptible, infected, treatment and recovered (SITR) fractal systems of COVID-19 propagation and control. The structure of an error function is accessible using the SITR differential form and its initial conditions. The optimization is performed using the MWNN together with the global as well as local search heuristics of genetic algorithm (GA) and active-set algorithm (ASA), i.e., MWNN-GA-ASA. The detail of each class of the SITR nonlinear COVID-19 system is also discussed. The obtained outcomes of the SITR system are compared with the Runge-Kutta results to check the perfection of the designed method. The statistical analysis is performed using different measures for 30 independent runs as well as 15 variables to authenticate the consistency of the proposed method. The plots of the absolute error, convergence analysis, histogram, performance measures, and boxplots are also provided to find the exactness, dependability and stability of the MWNN-GA-ASA.

Highlights

Human beings faced many challenges and obstacles, like floods, earthquakes, and viruses, etc
The comparative studies using the Runge-Kutta numerical solutions designates the accuracy of Morlet wavelet neural network (MWNN)-genetic algorithm (GA)-active-set algorithm (ASA)
This study aimsto exploit the Morlet wavelet neural networks using the numerical performances of the SITR fractal system-based coronavirus

Summary

Introduction

Human beings faced many challenges and obstacles, like floods, earthquakes, and viruses, etc. It broadly feasts in the African, American, South Asian countries, Oceania regions, Eastern Mediterranean and the Caribbean. The whole world is facing coronavirus (COVID-19) that is a deathly, dangerous and spreading disease This dangerous virus is tremendously transferrable through droplets [1]. The COVID-19 badly affected those persons that are suffering some diseases like heart issues, diabetes, chronic respiratory, cardiovascular and cancer Those who feel these symptoms of dry cough, breathing difficulty, flue and high temperature, should directly contact the doctor. The proposed MWNN-GA-ASA is implemented effectively to solve the nonlinear dynamics of the COVID-19 fractal model.

ANN Modeling

Optimization

Results and Discussion

SITR Fractal System

Conclusions