DC FieldValueLanguage
dc.contributor.authorLoukeris, Nikolaos-
dc.contributor.authorMaltoudoglou, Lysimachos-
dc.contributor.authorBoutalis, Yannis-
dc.contributor.authorArampatzis, Avi-
dc.contributor.authorLivanis, Efstratios-
dc.date.accessioned2024-04-23T10:15:57Z-
dc.date.available2024-04-23T10:15:57Z-
dc.date.issued2016-01-20-
dc.identifierscopus-84963861068-
dc.identifier.isbn9781467393119-
dc.identifier.other84963861068-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2223-
dc.description.abstractWe examine the efficiency of various Jordan Elman models either in neural or in hybrid neuro-genetic networks form to conclude on an optimal model that will be valuable in portfolio selection. The Jordan and Elman neural networks on a hybrid form of genetic algorithms optimization, in a specific topology, outperformed all the other Jordan Elman models and the financial evaluation of corporations had excellent results.en_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of the 6th International Conference on Information, Intelligence, Systems and Applications (IISA)en_US
dc.subjectFinancial analysisen_US
dc.subjectGenetic algorithmsen_US
dc.subjectJordan & Elman neural networksen_US
dc.subjectNonlinear regressionsen_US
dc.titleHybrid Jordan Elman nets in portfolio selectionen_US
dc.typeConference Paperen_US
dc.relation.conference6th International Conference on Information, Intelligence, Systems and Applications (IISA), 6-8 July 2015, Corfu, Greeceen_US
dc.identifier.doi10.1109/IISA.2015.7387996en_US
dc.identifier.scopus2-s2.0-84963861068-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-1891-8245-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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