Introducing evolving Takagi-Sugeno method based on local least squares support vector machine models

Evolving Systems

Volumn 3, Issue 2, 2012, Pages 81-93

  Komijani, Mohammad ^a   Lucas, Caro ^a   Araabi, Babak Nadjar ^a   Kalhor, Ahmad ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Evolving Takagi Sugeno; Least square support vector machine; Time series prediction

Indexed keywords

CLUSTERING TECHNIQUES; GENERALIZATION ABILITY; GRADIENT-BASED METHOD; IDENTIFICATION ALGORITHMS; LEARNING APPROACH; LEAST SQUARE SUPPORT VECTOR MACHINES; LOCAL LEAST SQUARES; MODELLING ERROR; NON-LINEAR MODEL; NONLINEAR TIME SERIES; ON-LINE IDENTIFICATION METHODS; ONLINE PREDICTION; RECURSIVE ALGORITHMS; T S MODELS; T-S FUZZY MODELS; TAKAGI-SUGENO; TIME SERIES PREDICTION;

FORECASTING; FUZZY RULES; IDENTIFICATION (CONTROL SYSTEMS); LEARNING ALGORITHMS; TIME SERIES;

SUPPORT VECTOR MACHINES;

EID: 84860482184     PISSN: 18686478     EISSN: 18686486     Source Type: Journal    
DOI: 10.1007/s12530-011-9043-0     Document Type: Article

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