Optimization techniques for improving power quality data mining using wavelet packet based support vector machine

Neurocomputing

Volumn 77, Issue 1, 2012, Pages 36-47

  Manimala, K ^a   Selvi, K ^b   Ahila, R ^a  

^a DR SIVANTHI ADITANAR COLLEGE OF ENGINEERING   (India)

^b THIAGARAJAR COLLEGE OF ENGINEERING   (India)

Author keywords

Feature extraction; Genetic algorithm; Power quality; Simulated annealing; Support vector machine; Wavelet packet transform

Indexed keywords

AUTOMATIC CLASSIFICATION; CLASSIFICATION ACCURACY; CLASSIFICATION SYSTEM; COMPUTATION TIME; DETECTION METHODS; DISCRIMINATIVE FEATURES; DISTURBANCE SIGNALS; FEATURE SUBSET; FUZZY K-NEAREST NEIGHBOR CLASSIFIER; GRID-SEARCH METHOD; IMPROVING POWER; KERNEL PARAMETER; MODEL SELECTION; NEURAL CLASSIFIERS; OPTIMIZATION TECHNIQUES; PARAMETER OPTIMIZATION METHODS; POWER DISTURBANCES; POWER QUALITY EVENT; PROBABILISTIC NEURAL NETWORKS; QUALITY DATA; SUPPORT VECTOR; SUPPORT VECTOR MACHINE METHOD; WAVELET PACKET; WAVELET PACKET TRANSFORMS;

DATA MINING; FEATURE EXTRACTION; GENETIC ALGORITHMS; METADATA; NEURAL NETWORKS; SIMULATED ANNEALING; VECTORS; WAVELET TRANSFORMS;

SUPPORT VECTOR MACHINES;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; CLASSIFIER; DATA MINING; GENETIC ALGORITHM; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; SIMULATION; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE; WAVELET POCKET TRANSFORM;

EID: 80955144002     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.08.010     Document Type: Article

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