Article

Solving a class of biological HIV infection model of latently infected cells using heuristic approach

2020-11-20

Abstract excerpt

The intension of the recent study is to solve a class of biological nonlinear HIV infection model of latently infected CD4+T cells using feed-forward artificial neural networks, optimized with global search method, i.e. particle swarm optimization (PSO) and quick local search method, i.e. interior-point algorithms (IPA). An unsupervised error function is made based on the differential equations and initial conditi...

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Mathematical and Theoretical Epidemiology and Ecology Models

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Literature Corpus work: dbee8bca-11ff-5870-8613-1df24c3d327b
DOI: 10.3934/dcdss.2020431

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