Intelligent computing based supervised learning for solving nonlinear system of malaria endemic mode...
Intelligent computing based supervised learning for solving nonlinear system of malaria endemic model
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Publisher
AIMS Press
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Language
English
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AIMS Press
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Contents
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 model for the system of non-linear ordinary differe...
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Full title
Intelligent computing based supervised learning for solving nonlinear system of malaria endemic model
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TN_cdi_doaj_primary_oai_doaj_org_article_8feba2e786e24fae9da61db7004d826d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8feba2e786e24fae9da61db7004d826d
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ISSN
2473-6988
E-ISSN
2473-6988
DOI
10.3934/math.20221114
