A Self-Organizing Quasi-Linear ARX RBFN Model for Nonlinear Dynamical
Systems Identification
By Mohammad Abu Jami'in
WORD COUNT 6681 TIME SUBMITTED 23-OCT-2018 03:53AM
PAPER ID 41373722
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A Self-Organizing Quasi-Linear ARX RBFN Model for Nonlinear Dynamical Systems Identification
ORIGINALITY REPORT
PRIMARY SOURCES
www.j3.jstage.jst.go.jp
Int ernet
Hong-Gui Han, Jun-Fei Qiao. "Prediction of activated sludge bulking based on a self-
organizing RBF neural network", Journal of Process Control, 2012
Crossref
SUTRISNO, Imam, Mohammad ABU
JAMI’IN, Jinglu HU, and Mohammad
HAMIRUCE MARHABAN. "A Self-Organizing Quasi-Linear ARX RBFN Model for Nonlinear Dynamical Systems Identification", SICE Journal of Control Measurement and System Integration, 2016.
Crossref
Mehrabian, A.R.. "A real-time neuro-adaptive controller with guaranteed stability", Applied Soft Computing Journal, 200801
Crossref
Sutrisno, Imam, Mohammad Abu Jami'in, and Jinglu Hu. "An improved elman neural network controller based on quasi-ARX neural network for nonlinear systems : AN IMPROVED CONTROLLER
BASED ON QUASI-ARX NN", IEEJ Transactions on Electrical and Electronic Engineering, 2014.
Crossref
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