A Reliable Bayesian Regularization Neural Network Approach to Solve the Global Stability of Infectious Disease Model-Reference-Cited by-同舟云学术

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A Reliable Bayesian Regularization Neural Network Approach to Solve the Global Stability of Infectious Disease Model

Published:2024-09 Issue: Volume: Page:112481
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Alshahrani Reem

Funder

Taif University

Publisher

Elsevier BV

Reference42 articles.

1. Infectious diseases of humans: dynamics and control;Anderson,1991

2. The mathematics of infectious diseases;Hethcote;SIAM review,2000

3. Time needed to control an epidemic with restricted resources in SIR model with short-term controlled population: A fixed point method for a free isoperimetric optimal control problem;Abouelkheir;Mathematical and Computational Applications,2018

4. The mathematics of infectious diseases;Hethcote;SIAM review,2000

5. Time-delayed SIS epidemic model with population awareness;Agaba;Ecological Complexity,2017

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