Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/6B29BAD4-96D1-4BFA-9043-9FBD338B51EA | ||
| Year | 2006 | ||
| Type of Item | Conference Full Paper | ||
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| Bibliographic Citation | L. 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. | ||
| Appears in Collections |
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.
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