Hybrid neuro-genetic systems as effective analysis schemes of financial and accounting statements
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 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.
DOI: 10.5555/1369472.1369496
URI: https://uniwacris.uniwa.gr/handle/3000/2187
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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