Comparative evaluation of multi layer perceptrons, to hybrid multi layer perceptrons, with multicriteria hierarchical discrimination and logistic regression in corporate …
Authors: Loukeris, Nikolaos 
Issue Date: 1-Jul-2007
Conference: 11th WSEAS International Conference on Computers, 26-28 July 2007, Crete Island, Greece 
Book: Proceedings of the 11th WSEAS International Conference on Computers 
Keywords: MultiLayer perceptron, Genetic algorithms, Logistic regressions, Multigroup hierarchical discrimination, Finance
Abstract: 
The net present value of corporations is reflected in the stock price, leading portfolio mangers to maximize their assets, securing stockholders interests. Extended accounting data produced by accounting reports, and financial markets include lucrative hidden information. Econometrics, Neural Networks and Multicriteria Analysis classify companies describing their economic robustness. In a detailed comparison Multi Layer Perceptron classification is compared to neuro-genetic hybrid of Multi Layer Perceptron, Logistic Regressions and Multigroup Hierarchical Discrimination classifications to determine efficient methods in Financial Analysis. Simple Logistic and Logistic Model Trees methods had a fine performance.
ISBN: 978-960-8457-95-9
URI: https://uniwacris.uniwa.gr/handle/3000/2216
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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