| Authors: | Loukeris, Nikolaos Maltoudoglou, Lysimachos Boutalis, Yannis Arampatzis, Avi Livanis, Efstratios |
| Issue Date: | 20-Jan-2016 |
| Conference: | 6th International Conference on Information, Intelligence, Systems and Applications (IISA), 6-8 July 2015, Corfu, Greece |
| Book: | Proceedings of the 6th International Conference on Information, Intelligence, Systems and Applications (IISA) |
| Keywords: | Financial analysis, Genetic algorithms, Jordan & Elman neural networks, Nonlinear regressions |
| Abstract: | We examine the efficiency of various Jordan Elman models either in neural or in hybrid neuro-genetic networks form to conclude on an optimal model that will be valuable in portfolio selection. The Jordan and Elman neural networks on a hybrid form of genetic algorithms optimization, in a specific topology, outperformed all the other Jordan Elman models and the financial evaluation of corporations had excellent results. |
| ISBN: | 9781467393119 |
| DOI: | 10.1109/IISA.2015.7387996 |
| URI: | https://uniwacris.uniwa.gr/handle/3000/2223 |
| 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: | Book Chapter / Κεφάλαιο Βιβλίου |
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