A novel type-2 fuzzy membership function: Application to the prediction of noisy data

CIMSA 2010 - IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, Proceedings

Volumn , Issue , 2010, Pages 128-133

  Khanesar, Mojtaba Ahmadieh ^a   Teshnehlab, Mohammad ^a   Kayacan, Erdal ^b   Kaynak, Okyay ^b  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^b BOGAZICI UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

CHAOTIC DYNAMICAL SYSTEMS; DERIVATIVE-FREE; FUZZY MEMBERSHIP FUNCTION; GRADIENT DESCENT; GRADIENT DESCENT METHOD; HYBRID METHOD; HYBRID PARAMETERS; LOCAL MINIMUMS; MEMBERSHIP VALUES; NOISE REDUCTIONS; NOISY DATA; OPTIMIZERS; PARAMETER SELECTION; SIMULATION RESULT; TYPE-2 FUZZY SYSTEMS;

ACOUSTIC NOISE MEASUREMENT; ARTIFICIAL INTELLIGENCE; CHAOTIC SYSTEMS; FUZZY LOGIC; FUZZY SETS; MEASUREMENTS; PARAMETER ESTIMATION; PARTICLE SWARM OPTIMIZATION (PSO);

MEMBERSHIP FUNCTIONS;

EID: 78649680626     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMSA.2010.5611774     Document Type: Conference Paper

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