A novel study of Morlet neural networks to solve the nonlinear HIV infection system of latently infected cells

A novel study of Morlet neural networks to solve the nonlinear HIV infection system of latently infected cells

The aim of this study is to provide the numerical outcomes of a nonlinear HIV infection system of latently infected CD4+ T cells exists in bioinformatics using Morlet wavelet (MW) artificial neural networks (ANNs) optimized initially with global search of genetic algorithms (GAs) hybridized for spee...

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Bibliographic Details
Main Authors: Muhammad Umar, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Haci Mehmet Baskonus, Shao-Wen Yao, Esin Ilhan
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Results in Physics
Subjects:
Morlet wavelets
HIV infection models
Genetic algorithms
Neural networks
Sequential quadratic programming
Bioinformatics
Online Access:http://www.sciencedirect.com/science/article/pii/S2211379721003776

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