DC FieldValueLanguage
dc.contributor.authorLoukeris, Nikolaos-
dc.contributor.authorMatsatsinis, Nikolaos-
dc.date.accessioned2024-04-22T08:52:22Z-
dc.date.available2024-04-22T08:52:22Z-
dc.date.issued2006-09-
dc.identifiergoogle_scholar-XlKYe28AAAAJ:u5HHmVD_uO8C-
dc.identifier.otherXlKYe28AAAAJ:u5HHmVD_uO8C-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2188-
dc.description.abstractFinancial management implements a variety of effective techniques to determine the economic health of corporations. The vast amount of financial data and the complexity of accounting statements require improved techniques not only of econometrics, but also of artificial intelligence. Effective decisions on financial management and corporate management can be supported by hybrid systems. Recurrent neural networks with neural with genetic algorithms optimization have provided results of significant precision and therefore may be considered in financial analysis.en_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimizationen_US
dc.sourceProceedings of the 6th WSEAS International Conference on Simulation …, 2006-
dc.titleRecurrent neural-genetic hybrids in corporate financial evaluationen_US
dc.typeConference Paperen_US
dc.relation.conference6th WSEAS International Conference on Simulation, Modelling and Optimization, 22 - 24 September 2006, Lisbon, Portugalen_US
dc.identifier.doi10.5555/1369472.1369498en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage147en_US
dc.identifier.epage151en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_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:Conference Papers or Poster or Presentation / Δημοσιεύσεις σε Συνέδρια
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