Intelligent computing based supervised learning for solving nonlinear system of malaria endemic model

Intelligent computing based supervised learning for solving nonlinear system of malaria endemic model

A repeatedly infected person is one of the most important barriers to malaria disease eradication in the population. In this article, the effects of recurring malaria re-infection and decline in the spread dynamics of the disease are investigated through a supervised learning based neural networks m...

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Bibliographic Details
Main Authors: Iftikhar Ahmad, Hira Ilyas, Muhammad Asif Zahoor Raja, Tahir Nawaz Cheema, Hasnain Sajid, Kottakkaran Sooppy Nisar, Muhammad Shoaib, Mohammed S. Alqahtani, C Ahamed Saleel, Mohamed Abbas
Format: Article
Language:English
Published: AIMS Press 2022-09-01
Series:AIMS Mathematics
Subjects:
neural networks
levenberg-marquardt artificial neural networks
supervised learning
Online Access:https://www.aimspress.com/article/doi/10.3934/math.20221114?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.20221114?viewType=HTML

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