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Recurrent neural-genetic hybrids in corporate financial evaluation

Matsatsinis Nikolaos, Loukeris Nikolaos

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URIhttp://purl.tuc.gr/dl/dias/6B29BAD4-96D1-4BFA-9043-9FBD338B51EA-
Languageen-
Extent5 pagesen
TitleRecurrent neural-genetic hybrids in corporate financial evaluationen
CreatorMatsatsinis Nikolaosen
CreatorΜατσατσινης Νικολαοςel
CreatorLoukeris Nikolaosen
PublisherACMen
Content SummaryFinancial 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
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-03-
Date of Publication2006-
SubjectCapability, Financial (Financial literacy)en
SubjectFinancial capability (Financial literacy)en
SubjectLiteracy, Financialen
Subjectfinancial literacyen
Subjectcapability financial financial literacyen
Subjectfinancial capability financial literacyen
Subjectliteracy financialen
Bibliographic CitationL. Nikolaos, M. Nikolaos ,"Recurrent neural-genetic hybrids in corporate financial evaluation,"in 6th WSEAS International Conference on Simulation, Modelling and Optimization,2006.pp,147-151.en

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