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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/complexity/JohariYK22>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Hamid_Reza_Kobravi>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Mahdi_Yaghoobi>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Samira_Johari>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1155%2F2022%2F1006197>
foaf:homepage <https://doi.org/10.1155/2022/1006197>
dc:identifier DBLP journals/complexity/JohariYK22 (xsd:string)
dc:identifier DOI doi.org%2F10.1155%2F2022%2F1006197 (xsd:string)
dcterms:issued 2022 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/complexity>
rdfs:label HCDRNN-NMPC: A New Approach to Design Nonlinear Model Predictive Control (NMPC) Based on the Hyper Chaotic Diagonal Recurrent Neural Network (HCDRNN). (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Hamid_Reza_Kobravi>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Mahdi_Yaghoobi>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Samira_Johari>
swrc:pages 1006197:1-1006197:19 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/complexity/JohariYK22/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/complexity/JohariYK22>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/complexity/complexity2022.html#JohariYK22>
rdfs:seeAlso <https://doi.org/10.1155/2022/1006197>
dc:title HCDRNN-NMPC: A New Approach to Design Nonlinear Model Predictive Control (NMPC) Based on the Hyper Chaotic Diagonal Recurrent Neural Network (HCDRNN). (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 2022 (xsd:string)