DC FieldValueLanguage
dc.contributor.authorLoukeris, Nikolaos-
dc.date.accessioned2024-04-22T11:24:56Z-
dc.date.available2024-04-22T11:24:56Z-
dc.date.issued2008-07-
dc.identifiergoogle_scholar-XlKYe28AAAAJ:9yKSN-GCB0IC-
dc.identifier.isbn978-960-6766-85-5-
dc.identifier.otherXlKYe28AAAAJ:9yKSN-GCB0IC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2200-
dc.description.abstractFinancial management maximise investors' return, seeking for stocks with increasing expected corporate value. Hidden information is included in vast accounting data and financial indices that are available in international financial markets. Methods of Econometrics and Artificial Intelligence- mainly in the field of Neural Networks- provide classifications of companies regarding their economic health. Radial Basis Function networks are examined in a hybrid form of Neural Network optimised with Genetic Algorithms and in a regular Neural Net form, to determine efficient methods of Financial Analysis. The regular Radial Basis Function network with 3 layers, Genetic Algorithms in all the layers and Cross Validation is superior to all the neuro-genetic forms of RBF in Financial Analysis.en_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of the 12th WSEAS international conference on Computersen_US
dc.sourceProceedings of the 12th WSEAS international conference on Computers, 812-819, 2008-
dc.titleRadial basis functions networks to hybrid neuro-genetic RBFNs in financial evaluation of corporationsen_US
dc.typeConference Paperen_US
dc.relation.conference12th WSEAS international conference on Computers, 23-25 July 2008, Heraklion, Greeceen_US
dc.identifier.doi10.5555/1513605.1513743en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage812en_US
dc.identifier.epage819en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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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