Nonlinear system identification by gustafson-kessel fuzzy clustering and supervised local model network learning for the drug absorption spectra process

IEEE Transactions on Neural Networks

Volumn 22, Issue 12 PART 1, 2011, Pages 1941-1951

  Teslić, Luka ^a   Hartmann, Benjamin ^b   Nelles, Oliver ^b   Škrjanc, Igor ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

^b UNIVERSITY OF SIEGEN   (Germany)

Author keywords

(un)supervised learning; Gustafson Kessel fuzzy clustering; local model networks; nonlinear system identification

Indexed keywords

CLUSTER CENTERS; COVARIANCE MATRICES; DATA CLUSTERS; DRUG ABSORPTION; GUSTAFSON-KESSEL; IDENTIFICATION ALGORITHMS; INCREMENTAL METHOD; ITERATIVE IDENTIFICATION; LEARNING PROCEDURES; LOCAL LINEAR MODELS; LOCAL MODEL; LOCAL MODEL NETWORKS; LOCAL REGION; NON-LINEAR SYSTEM IDENTIFICATION; NON-LINEARITY; NONLINEAR MODEL IDENTIFICATION;

COVARIANCE MATRIX; FUZZY CLUSTERING; NONLINEAR SYSTEMS; UNSUPERVISED LEARNING;

CLUSTERING ALGORITHMS;

PHENYLEPHRINE;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; MASS SPECTROMETRY; METHODOLOGY; NONLINEAR SYSTEM;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; MASS SPECTROMETRY; NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; PHENYLEPHRINE;

EID: 83855163521     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2170093     Document Type: Article

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