Modeling of complex-valued wiener systems using B-spline neural network

IEEE Transactions on Neural Networks

Volumn 22, Issue 5, 2011, Pages 818-825

  Hong, Xia ^a   Chen, Sheng ^b  

^a UNIVERSITY OF READING   (United Kingdom)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

B spline; complex valued neural networks; De Boor algorithm; system identification; Wiener system

Indexed keywords

B-SPLINE; COMPLEX-VALUED NEURAL NETWORKS; DE BOOR ALGORITHM; SYSTEM IDENTIFICATION; WIENER SYSTEMS;

ALGORITHMS; COMMUNICATION SYSTEMS; CURVE FITTING; IDENTIFICATION (CONTROL SYSTEMS); PARAMETER ESTIMATION; POWER AMPLIFIERS; SPLINES; TENSORS;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; MATHEMATICAL PHENOMENA; METHODOLOGY; NONLINEAR SYSTEM; NORMAL DISTRIBUTION; STANDARD; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; MATHEMATICAL CONCEPTS; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED;

EID: 79955789951     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2119328     Document Type: Article

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