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A Novel Neural-Fuzzy Method to Search the Optimal Step Size for NLMS Beamforming
ArticleAbstract: This paper presents a novel algorithm based on neural networks and fuzzy logic to generate membershiPalabras claves:Adaptive filters, BEAMFORMING, fuzzy logic, Neural networks, NLMS algorithmAutores:Nakano-Miyatake M., Pérez-Meana H., Walter Orozco-TupacyupanquiFuentes:googlescopusA new method for searching the optimal step size of NLMS algorithm in intelligent antennas arrays based on fuzzy logic and artificial neural networks
Conference ObjectAbstract: This paper proposes a new approach based on information classification algorithms, fuzzy logic and nPalabras claves:adaptive linear array, fuzzy logic, Membership Functions, Neural networks, NLMS algorithmAutores:Nakano-Miyatake M., Pérez-Meana H., Walter Orozco-TupacyupanquiFuentes:googlescopusA new step-size searching algorithm based on fuzzy logic and neural networks for LMS adaptive beamforming systems
ArticleAbstract: In this paper, a novel algorithm based on fuzzy logic and neural networks is proposed to find an appPalabras claves:Adaptive beamforming, Adaptive filtering, Least-mean-square algorithm, Membership Functions, Neural-fuzzy systemsAutores:Nakano-Miyatake M., Pérez-Meana H., Walter Orozco-TupacyupanquiFuentes:googlescopus