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Title: On Logical Correction of Neural Network Algorithms for Pattern Recognition
Authors: Aslanyan, Levon
de Mingo, Luis
Castellanos, Juan
Ryazanov, Vladimir
Chelnokov, Fedor
Dokukin, Alexander
Keywords: Pattern Recognition
Neural Networks
Logical Correction
Issue Date: 2007
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: The paper is devoted to the description of hybrid pattern recognition method developed by research groups from Russia, Armenia and Spain. The method is based upon logical correction over the set of conventional neural networks. Output matrices of neural networks are processed according to the potentiality principle which allows increasing of recognition reliability.
ISSN: 1313-0463
Appears in Collections:Volume 14 Number 3

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