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Computational Intelligent Paradigms to Solve the Nonlinear SIR System for Spreading Infection and Tr...

Computational Intelligent Paradigms to Solve the Nonlinear SIR System for Spreading Infection and Tr...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2530151557

Computational Intelligent Paradigms to Solve the Nonlinear SIR System for Spreading Infection and Treatment Using Levenberg–Marquardt Backpropagation

About this item

Full title

Computational Intelligent Paradigms to Solve the Nonlinear SIR System for Spreading Infection and Treatment Using Levenberg–Marquardt Backpropagation

Publisher

Basel: MDPI AG

Journal title

Symmetry (Basel), 2021-04, Vol.13 (4), p.618

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The current study aims to design an integrated numerical computing-based scheme by applying the Levenberg–Marquardt backpropagation (LMB) neural network to solve the nonlinear susceptible (S), infected (I) and recovered (R) (SIR) system of differential equations, representing the spreading of infection along with its treatment. The solutions of bot...

Alternative Titles

Full title

Computational Intelligent Paradigms to Solve the Nonlinear SIR System for Spreading Infection and Treatment Using Levenberg–Marquardt Backpropagation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2530151557

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2530151557

Other Identifiers

ISSN

2073-8994

E-ISSN

2073-8994

DOI

10.3390/sym13040618

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