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Radial basis functions networks to hybrid neuro-genetic RBFNs in financial evaluation of corporations

Matsatsinis Nikolaos, Loukeris Nikolaos

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URIhttp://purl.tuc.gr/dl/dias/C0D48812-7B96-4475-A24D-E52514838DAA-
Identifierhttp://www.wseas.us/e-library/conferences/2008/crete/Computers/127-computers.pdf-
Languageen-
Extent8 pagesen
TitleRadial basis functions networks to hybrid neuro-genetic RBFNs in financial evaluation of corporationsen
CreatorMatsatsinis Nikolaosen
CreatorΜατσατσινης Νικολαοςel
CreatorLoukeris Nikolaosen
CreatorΛουκερης Νικολαοςel
Content SummaryFinancial 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
Type of ItemΑφίσα σε Συνέδριοel
Type of ItemConference Posteren
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-03-
Date of Publication2008-
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 CitationN. matsatsinis,N. Loukeris.(2008).Radial basis functions networks to hybrid neuro-genetic RBFNs in financial evaluation of corporations.Presented at 12th WSEAS International Conference on computers.[online]/Available:http://www.wseas.us/e-library/conferences/2008/crete/Computers/127-computers.pdfen

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