Intelligent non-linear modelling of an industrial winding process using recurrent local linear neuro-fuzzy networks

Journal of Zhejiang University: Science C

Volumn 13, Issue 6, 2012, Pages 403-412

  Abbasi Nozari, Hasan ^a   Dehghan Banadaki, Hamed ^a   Mokhtare, Mohammad ^a   Hekmati Vahed, Somayeh ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Industrial winding process; Local linear model tree (LOLIMOT); Neural network (NN); Non linear system identification; Recurrent local linear neuro fuzzy (RLLNF) network

Indexed keywords

CONTROL PERFORMANCE; FAULT-TOLERANT SYSTEMS; LEAST SQUARE ERRORS; LOCAL LINEAR; LOCAL LINEAR MODEL TREE; MODELLING METHOD; MULTI LAYER PERCEPTRON; NEURO-FUZZY; NEURO-FUZZY NETWORK; NON-LINEAR MODEL; NON-LINEAR MODELLING; NON-LINEAR SYSTEM IDENTIFICATION; NONLINEAR IDENTIFICATIONS; RADIAL BASIS FUNCTIONS; SIMULATOR MODELS; TREE-BASED; WINDING PROCESS;

FORESTRY; INDUSTRY; LEARNING ALGORITHMS; LINEAR SYSTEMS; NONLINEAR SYSTEMS; RADIAL BASIS FUNCTION NETWORKS;

WINDING;

ALGORITHMS; FORESTRY; NETWORKS; WINDING;

EID: 84864632694     PISSN: 18691951     EISSN: 1869196X     Source Type: Journal    
DOI: 10.1631/jzus.C11a0278     Document Type: Article

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