Classification of power quality data using decision tree and chemotactic differential evolution based fuzzy clustering

Swarm and Evolutionary Computation

Volumn 4, Issue , 2012, Pages 12-24

  Biswal, B ^a   Behera, H S ^b   Bisoi, R ^a   Dash, P K ^a  

^a SIKSHA O ANUSANDHAN DEEMED TO BE UNIVERSITY   (India)

^b VEER SURENDRA SAI UNIVERSITY OF TECHNOLOGY   (India)

Author keywords

Chemotactic differential evolution algorithm; Modified S Transform; Non stationary power signals; Pattern classification; Power quality; Reformulated Fuzzy C means Algorithm

Indexed keywords

BACTERIAL FORAGING OPTIMIZATION ALGORITHMS; CLASSIFICATION ACCURACY; DE ALGORITHMS; DIFFERENTIAL EVOLUTION; DIFFERENTIAL EVOLUTION ALGORITHMS; DISTURBANCE PATTERNS; FEATURE VECTORS; FUZZY C-MEANS ALGORITHMS; FUZZY DECISION TREES; GAUSSIAN WINDOW; HYBRID ALGORITHMS; MODIFIED S-TRANSFORM; NON-STATIONARY POWER SIGNALS; NONSTATIONARY; OPTIMIZATION TECHNIQUES; POWER SIGNALS; PREMATURE CONVERGENCE; S TRANSFORMS; TIME FREQUENCY; WAVE FORMS;

CLASSIFICATION (OF INFORMATION); COPYING; DECISION TREES; EVOLUTIONARY ALGORITHMS; FUZZY CLUSTERING; PATTERN RECOGNITION; POWER QUALITY;

DATA MINING;

EID: 84858442474     PISSN: 22106502     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.swevo.2011.12.003     Document Type: Article

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