Recurrent neural-genetic hybrids in corporate financial evaluation
Authors: Loukeris, Nikolaos 
Matsatsinis, Nikolaos 
Issue Date: 1-Sep-2006
Conference: 6th WSEAS International Conference on Simulation, Modelling and Optimization, 22 - 24 September 2006, Lisbon, Portugal 
Is Part of: Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization 
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.
DOI: 10.5555/1369472.1369498
URI: https://uniwacris.uniwa.gr/handle/3000/2188
Type: Conference Paper
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Conference Papers or Poster or Presentation / Δημοσιεύσεις σε Συνέδρια

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