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Levenberg–Marquardt Backpropagation for Numerical Treatment of Micropolar Flow in a Porous Channel w...

Levenberg–Marquardt Backpropagation for Numerical Treatment of Micropolar Flow in a Porous Channel w...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f8ebd28bdcb8465899a965e39427f160

Levenberg–Marquardt Backpropagation for Numerical Treatment of Micropolar Flow in a Porous Channel with Mass Injection

About this item

Full title

Levenberg–Marquardt Backpropagation for Numerical Treatment of Micropolar Flow in a Porous Channel with Mass Injection

Publisher

Hoboken: Hindawi

Journal title

Complexity (New York, N.Y.), 2021, Vol.2021 (1)

Language

English

Formats

Publication information

Publisher

Hoboken: Hindawi

More information

Scope and Contents

Contents

In this research work, an effective Levenberg–Marquardt algorithm-based artificial neural network (LMA-BANN) model is presented to find an accurate series solution for micropolar flow in a porous channel with mass injection (MPFPCMI). The LMA is one of the fastest backpropagation methods used for solving least-squares of nonlinear problems. We crea...

Alternative Titles

Full title

Levenberg–Marquardt Backpropagation for Numerical Treatment of Micropolar Flow in a Porous Channel with Mass Injection

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f8ebd28bdcb8465899a965e39427f160

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f8ebd28bdcb8465899a965e39427f160

Other Identifiers

ISSN

1076-2787

E-ISSN

1099-0526

DOI

10.1155/2021/5337589

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