Log in to save to my catalogue

Artificial Neural Networks to Solve the Singular Model with Neumann–Robin, Dirichlet and Neumann Bou...

Artificial Neural Networks to Solve the Singular Model with Neumann–Robin, Dirichlet and Neumann Bou...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_739c66e91b6449cfa8ea39270b3eb33a

Artificial Neural Networks to Solve the Singular Model with Neumann–Robin, Dirichlet and Neumann Boundary Conditions

About this item

Full title

Artificial Neural Networks to Solve the Singular Model with Neumann–Robin, Dirichlet and Neumann Boundary Conditions

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2021-09, Vol.21 (19), p.6498

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The aim of this work is to solve the case study singular model involving the Neumann–Robin, Dirichlet, and Neumann boundary conditions using a novel computing framework that is based on the artificial neural network (ANN), global search genetic algorithm (GA), and local search sequential quadratic programming method (SQPM), i.e., ANN-GA-SQPM. The i...

Alternative Titles

Full title

Artificial Neural Networks to Solve the Singular Model with Neumann–Robin, Dirichlet and Neumann Boundary Conditions

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_739c66e91b6449cfa8ea39270b3eb33a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_739c66e91b6449cfa8ea39270b3eb33a

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s21196498

How to access this item