Soft Computing Paradigms to Find the Numerical Solutions of a Nonlinear Influenza Disease Model

Soft Computing Paradigms to Find the Numerical Solutions of a Nonlinear Influenza Disease Model

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The aim of this work is to present the numerical results of the influenza disease nonlinear system using the feed forward artificial neural networks (ANNs) along with the optimization of the combination of global and local search schemes. The genetic algorithm (GA) and active-set method (ASM), i.e.,...

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Bibliographic Details
Main Authors: Zulqurnain Sabir, Ag Asri Ag Ibrahim, Muhammad Asif Zahoor Raja, Kashif Nisar, Muhammad Umar, Joel J. P. C. Rodrigues, Samy R. Mahmoud
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Applied Sciences
Subjects:
influenza disease system
Adams methods
artificial neural networks
active-set method
genetic algorithms
statistical performances
Online Access:https://www.mdpi.com/2076-3417/11/18/8549

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