Adaptive Noise Cancellation Using Petri Fuzzy Brain Emotional Learning-Based Neural Network
2022 6th International Conference on Green Technology and Sustainable Development (GTSD)(2022)
摘要
This study briefs the application of a novel intelligent algorithm as an adaptive filter. The proposed algorithm, Petri fuzzy brain emotional learning-based neural network (PNFBELNN) is designed by introducing Petri Net layers in fuzzy brain emotional learning-based neural network. The Petri Net reduces the computational load caused by parameter learning and improves fuzzy reasoning thus enabling high-speed signal processing. The proposed filter is applied as an adaptive noise canceller. The performance of the filter is illustrated through numerical simulations of the noise cancelation system.
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关键词
fuzzy brain emotional learning controller,Petri net,fuzzy system,adaptive filter,noise cancelation system
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