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2018 | Supplement | Chapter

Adaptive Noise Cancelation Using Fuzzy Brain Emotional Learning Network

Authors : Qianqian Zhou, Chih-Min Lin, Fei Chao

Published in: Advances in Computational Intelligence Systems

Publisher: Springer International Publishing

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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.

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Metadata
Title
Adaptive Noise Cancelation Using Fuzzy Brain Emotional Learning Network
Authors
Qianqian Zhou
Chih-Min Lin
Fei Chao
Copyright Year
2018
Book
Advances in Computational Intelligence Systems

Print ISBN: 978-3-319-66938-0

Electronic ISBN: 978-3-319-66939-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-66939-7_14

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