On-line identification of nonlinear systems using Volterra polynomial basis function neural networks

Neural Networks

Volumn 11, Issue 9, 1998, Pages 1645-1657

  Liu, Guoping P ^a   Kadirkamanathan, Visakan ^b   Billings, Steve A ^b  

^a ALSTHOM LE8 6LU   (United Kingdom)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Growing network; Neural networks; Nonlinear system identification; Orthogonal least squares algorithm; Recursive weighting learning; Volterra polynomials

Indexed keywords

COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; ERROR ANALYSIS; IDENTIFICATION (CONTROL SYSTEMS); LEARNING ALGORITHMS; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; LYAPUNOV METHODS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; ONLINE SYSTEMS; POLYNOMIALS;

ONLINE RECURSIVE WEIGHT LEARNING ALGORITHMS; ORTHOGONAL LEAST SQUARES ALGORITHMS; VOLTERRA POLYNOMIAL BASIS FUNCTION (VPBF) NEURAL NETWORKS;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; NONLINEAR SYSTEM; ONLINE SYSTEM; PRIORITY JOURNAL; REGRESSION ANALYSIS;

EID: 0032445796     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(98)00100-2     Document Type: Article

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