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Andre Lemos, Federal University of Minas Gerais Vladik Kreinovich, The University of Texas at El PasoFollow Walmir Caminhas, Federal University of Minas Gerais Fernando Gomide, University of Campinas
12-2010
Technical Report: UTEP-CS-10-59
Published in Proceedings of the 30th Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2011, El Paso, Texas, March 18-20.
Fuzzy neural networks are hybrid models capable to approximate functions with high precision and to generate transparent models, enabling the extraction of valuable information from the resulting topology. In this paper we will show that the recently proposed fuzzy neural network based on weighted uninorms aggregations uniformly approximates any real functions on any compact set. We will describe the network topology and inference mechanism and show that the universal approximation property of this network is valid for a given choice of operators.
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Technical Report: UTEP-CS-10-59
Published in Proceedings of the 30th Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2011, El Paso, Texas, March 18-20.