Evolving neuro-fuzzy network for real-time high impedance fault detection and classification
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3789-2
Abstract: This paper concerns the application of a neuro-fuzzy learning method based on data streams for high impedance fault (HIF) detection in medium-voltage power lines. A wavelet-packet-transform-based feature extraction method combined with a variation of evolving… read more here.
Keywords: classification; detection; network; neuro fuzzy ... See more keywords
An evolving neuro-fuzzy system based on uni-nullneurons with advanced interpretability capabilities
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.04.065
Abstract: Abstract This paper proposes a hybrid architecture based on neural networks, fuzzy systems, and n-uninorms for solving pattern classification problems, termed as ENFS-Uni0 (short for evolving neuro-fuzzy system based on uni-nullneurons). The model can produce… read more here.
Keywords: neuro fuzzy; fuzzy system; uni nullneurons; system based ... See more keywords