Recurrent neural-genetic hybrids in corporate financial evaluation

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 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.