Hybrid neuro-genetic systems as effective analysis schemes of financial and accounting statements

Authors:
Loukeris Nikolaos;Matsatsinis Nikolaos
Affiliations:
Technical University of Crete, Department of Production Engineering and Management, Crete, Greece;Technical University of Crete, Department of Production Engineering and Management, Crete, Greece
Venue:
SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
Year:
2006

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Abstract

Financial markets and tax services require continuous information on the economic health of corporations. Data of financial indices and accounting statements include valuable elements that advanced methods of artificial intelligence can implement to provide analyses of high precision. Hybrid systems of neural networks with genetic algorithms optimization are able to support efficiently decisions on portfolio management, corporate management, and financial accounting.