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

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Technical University of Crete

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Title

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

Creator

Ματσατσινης Νικολαος (EL)

Λουκερης Νικολαος (EL)

Loukeris Nikolaos (EN)

Matsatsinis Nikolaos (EN)

Type

conferenceItem

poster

Conference poster (EN)

Issued

2008

Year

2008 (EN)

Description

Financial 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)

Subject

Capability, Financial (Financial literacy),Financial capability (Financial literacy),Literacy, Financial,financial literacy,capability financial financial literacy,financial capability financial literacy,literacy financial (EN)

Conference

12th WSEAS International Conference on comuters (EL)

Language

English

School / Department / Institute

Πολυτεχνείο Κρήτης (EL)

Technical University of Crete (EN)

Provider

Technical University of Crete

Repository / collection

Institutional Repository Technical University of Crete

Subcollections