Heuristic computing with sequential quadratic programming for solving a nonlinear hepatitis B virus model

This current study presents a nonlinear system of the hepatitis B virus infection by using the strength of artificial neural network (ANN) together with the competences of global and local search efficiencies of genetic algorithm (GA) and sequential quadratic programming scheme (SQPS), i.e., ANN-GA-...

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Vydané v:	Mathematics and computers in simulation Ročník 212; s. 234 - 248
Hlavní autori:	Umar, Muhammad, Sabir, Zulqurnain, Raja, Muhammad Asif Zahoor, Baskonus, Haci Mehmet, Ali, Mohamed R., Shah, Nehad Ali
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.10.2023
Predmet:	Artificial neural networks Hepatitis B virus system Infection disease Sequential quadratic algorithm scheme Statistical analysis Infection disease Sequential quadratic algorithm scheme Statistical analysis Hepatitis B virus system Artificial neural networks
ISSN:	0378-4754, 1872-7166
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