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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/ijon/DivasonFSPP23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Alpha_V._Pern%E2%88%9A%E2%89%A0a-Espinoza>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Andr%E2%88%9A%C2%A9s_Sanz-Garc%E2%88%9A%E2%89%A0a>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Francisco_Javier_Mart%E2%88%9A%E2%89%A0nez_de_Pis%E2%88%9A%E2%89%A5n>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jose_Divas%E2%88%9A%E2%89%A5n>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Julio_Fern%E2%88%9A%C2%B0ndez-Ceniceros>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1016%2Fj.neucom.2023.126414>
foaf:homepage <https://doi.org/10.1016/j.neucom.2023.126414>
dc:identifier DBLP journals/ijon/DivasonFSPP23 (xsd:string)
dc:identifier DOI doi.org%2F10.1016%2Fj.neucom.2023.126414 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/ijon>
rdfs:label PSO-PARSIMONY: A method for finding parsimonious and accurate machine learning models with particle swarm optimization. Application for predicting force-displacement curves in T-stub steel connections. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Alpha_V._Pern%E2%88%9A%E2%89%A0a-Espinoza>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Andr%E2%88%9A%C2%A9s_Sanz-Garc%E2%88%9A%E2%89%A0a>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Francisco_Javier_Mart%E2%88%9A%E2%89%A0nez_de_Pis%E2%88%9A%E2%89%A5n>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jose_Divas%E2%88%9A%E2%89%A5n>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Julio_Fern%E2%88%9A%C2%B0ndez-Ceniceros>
swrc:pages 126414 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/ijon/DivasonFSPP23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/ijon/DivasonFSPP23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/ijon/ijon548.html#DivasonFSPP23>
rdfs:seeAlso <https://doi.org/10.1016/j.neucom.2023.126414>
dc:title PSO-PARSIMONY: A method for finding parsimonious and accurate machine learning models with particle swarm optimization. Application for predicting force-displacement curves in T-stub steel connections. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 548 (xsd:string)