Identification of extended hammerstein systems using dynamic self-optimizing neural networks

IEEE Transactions on Neural Networks

Volumn 22, Issue 8, 2011, Pages 1169-1179

  Ren, Xuemei ^a   Lv, Xiaohua ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Dynamic self optimizing neural network; extended Hammerstein systems; integrated performance; system identification

Indexed keywords

HAMMERSTEIN SYSTEM; HIDDEN LAYERS; HIDDEN STRUCTURES; IDENTIFICATION ERRORS; INPUT SIGNAL; INPUT VECTOR; INTEGRATED PERFORMANCE; LEARNING RATES; MINIMAL REALIZATIONS; NETWORK STRUCTURES; NON-GAUSSIAN NOISE; NON-LINEARITY; ORDER ESTIMATION; PENALTY TERM; PLANT DYNAMICS; PRIORI KNOWLEDGE; PRUNING STEPS; SELF-OPTIMIZING NEURAL NETWORKS; STRUCTURE OPTIMIZATION; SYSTEM IDENTIFICATIONS;

CONTROL NONLINEARITIES; GAUSSIAN NOISE (ELECTRONIC); ONLINE SYSTEMS; STRUCTURAL OPTIMIZATION;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER SIMULATION; PHYSIOLOGY; PLANT CELL;

ALGORITHMS; COMPUTER SIMULATION; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); PLANT CELLS;

EID: 80051548719     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2154339     Document Type: Article

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