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 Boundary Conditions
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Basel: MDPI AG
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English
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Basel: MDPI AG
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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...
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Artificial Neural Networks to Solve the Singular Model with Neumann–Robin, Dirichlet and Neumann Boundary Conditions
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TN_cdi_doaj_primary_oai_doaj_org_article_739c66e91b6449cfa8ea39270b3eb33a
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_739c66e91b6449cfa8ea39270b3eb33a
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s21196498