Academic Journal

Analysis of Hybrid NAR-RBFs Networks for complex non-linear Covid-19 model with fractional operators

التفاصيل البيبلوغرافية
العنوان: Analysis of Hybrid NAR-RBFs Networks for complex non-linear Covid-19 model with fractional operators
المؤلفون: Aqeel Ahmad, Muhammad Farman, Muhammad Sultan, Hijaz Ahmad, Sameh Askar
المصدر: BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-19 (2024)
بيانات النشر: BMC, 2024.
سنة النشر: 2024
المجموعة: LCC:Infectious and parasitic diseases
مصطلحات موضوعية: NAR-RBFs Networks, Boundedness, Stability, Uniqueness, Mittag-Leffler kernel, Infectious and parasitic diseases, RC109-216
الوصف: Abstract The Hybrid NAR-RBFs Networks for COVID-19 fractional order model is examined in this scientific study. Hybrid NAR-RBFs Networks for COVID-19, that is more infectious which is appearing in numerous areas as people strive to stop the COVID-19 pandemic. It is crucial to figure out how to create strategies that would stop the spread of COVID-19 with a different age groups. We used the epidemic scenario in the Hybrid NAR-RBFs Networks as a case study in order to replicate the propagation of the modified COVID-19. In this research work, existence and stability are verified for COVID-19 as well as proved unique solutions by applying some results of fixed point theory. The developed approach to investigate the impact of Hybrid NAR-RBFs Networks due to COVID-19 at different age groups is relatively advanced. Also obtain solutions for a proposed model by utilizing Atanga Toufik technique and fractal fractional which are the advanced techniques for such type of infectious problems for continuous monitoring of spread of COVID-19 in different age groups. Comparisons has been made to check the efficiency of techniques as well as for finding the reliable solutions to understand the dynamical behavior of Hybrid NAR-RBFs Networks for non-linear COVID-19. Finally, the parameters are evaluated to see the impact of illness and present numerical simulations using Matlab to see actual behavior of this infectious disease for Hybrid NAR-RBFs Networks of COVID-19 for different age groups.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1471-2334
Relation: https://doaj.org/toc/1471-2334
DOI: 10.1186/s12879-024-09329-6
URL الوصول: https://doaj.org/article/6ed48a23fb814f5b82dc2e7c0f00e9ac
رقم الانضمام: edsdoj.6ed48a23fb814f5b82dc2e7c0f00e9ac
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14712334
DOI:10.1186/s12879-024-09329-6