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• W2753669160 abstract "This paper proposes a fuzzy brain emotional learning network for adaptive noise cancelation. The proposed network is based on brain emotional learning algorithm which is developed according to the emotional learning process of mammalian and the fuzzy inference is added for better ability to handle uncertainties. Parameters in the network are modified online by the derived adaption laws. In addition, a stable convergence is guaranteed by utilizing the Lyapunov stability theorem. Finally, in order to demonstrate the performance of the proposed filter, it is applied in a signal processing application where different source signals and noise signals are used. A comparison between the proposed method, Least mean square algorithm and a fuzzy cerebellar model articulation controller filter shows that the proposed method can converge faster even when the source signal is corrupted severely." @default.
• W2753669160 created "2017-09-15" @default.
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• W2753669160 date "2017-09-05" @default.
• W2753669160 modified "2023-09-27" @default.
• W2753669160 title "Adaptive Noise Cancelation Using Fuzzy Brain Emotional Learning Network" @default.
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• W2753669160 doi "https://doi.org/10.1007/978-3-319-66939-7_14" @default.
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