A TSK-Type Recurrent Neuro-Fuzzy Systems for Fault Prognosis

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Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124

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Submission

"A TSK-Type Recurrent Neuro-Fuzzy Systems for Fault Prognosis"
written by Rafik Mahdaoui, Leila Hayet Mouss,
published by Journal of Software Engineering and Applications, Vol.5 No.7, 2012

has been cited by the following article(s):

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[1]	Commande neuro-floue pour le suivi de trajectoire et l'évitement d'obstacles dans un véhicule autonome
	2020

[2]	Long Short-Term Memory Neural Network Based Fault Detection and Isolation for Electro-mechanical Actuators
	2019

[3]	Multi-sensor condition monitoring of bearings using support vector machines
	2017

[4]	A review on prognostic techniques for non-stationary and non-linear rotating systems
	Mechanical Systems and Signal Processing, 2015

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[1]	Long short-term memory neural network based fault detection and isolation for electro-mechanical actuators Neurocomputing, 2019 DOI:10.1016/j.neucom.2019.06.029