Hybrid soft computing techniques for feature selection and parameter optimization in power quality data mining

Applied Soft Computing Journal

Volumn 11, Issue 8, 2011, Pages 5485-5497

  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

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

Indexed keywords

CLASSIFICATION ACCURACY; DECOMPOSITION LEVEL; DISTURBANCE SIGNALS; FEATURE SETS; KERNEL PARAMETER; OPTIMIZED PARAMETER; PARAMETER OPTIMIZATION; PARAMETER SELECTION; PARAMETERS OPTIMIZATION; POLYNOMIAL KERNELS; POWER DISTURBANCES; POWER QUALITY PROBLEM; RADIAL BASIS FUNCTIONS; SOFTCOMPUTING TECHNIQUES; SUPPORT VECTOR; SVM CLASSIFICATION; TRAINING PROCESS;

DATA MINING; DISCRETE WAVELET TRANSFORMS; GENETIC ALGORITHMS; PARAMETER ESTIMATION; POWER QUALITY; RADIAL BASIS FUNCTION NETWORKS; SIMULATED ANNEALING; SOFT COMPUTING; SUPPORT VECTOR MACHINES; WAVELET DECOMPOSITION; WAVELET TRANSFORMS;

FEATURE EXTRACTION;

EID: 80053569949     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.05.010     Document Type: Article

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