Numerical investigation of a fractional order Wolbachia invasive model using stochastic Bayesian neural network

Numerical investigation of a fractional order Wolbachia invasive model using stochastic Bayesian neural network

The major goal of this research study is to solve the fractional order Wolbachia invasive model (FWIM) by developing a computational framework based on the Bayesian regularization backpropagation neural network (BRB-NN) approach. The population of mosquitoes is categorized into two classes, Wolbachi...

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Detalles Bibliográficos
Main Authors: Zeshan Faiz, Shumaila Javeed, Iftikhar Ahmed, Dumitru Baleanu
Formato: Artigo
Idioma:English
Publicado: Elsevier 2024-04-01
Series:Alexandria Engineering Journal
Subjects:
Fractional derivative
Wolbachia
Neural network
Mathematical model
Bayesian regularization backpropagation
Mean square error
Acceso en liña:http://www.sciencedirect.com/science/article/pii/S1110016824002448

Internet

http://www.sciencedirect.com/science/article/pii/S1110016824002448

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