A Least Squares Support Vector Machines (LS-SVM) approach for predicting critical flashover voltage of polluted insulators

Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP

Volumn , Issue , 2011, Pages 403-406

  Zegnini, B ^a   Mahdjoubi, A H ^a   Belkheiri, M ^a  

^a UNIVERSITY OF LAGHOUAT   (Algeria)

Author keywords

[No Author keywords available]

Indexed keywords

ARC LENGTH; CRITICAL FLASHOVER VOLTAGES; DIFFERENT GEOMETRY; EQUIVALENT SALT DEPOSIT DENSITY; FIELD EXPERIENCE; FLASHOVER PERFORMANCE; FLASHOVER VOLTAGE; FORM FACTORS; GENERALIZATION ABILITY; INDEPENDENT VARIABLES; INPUT VARIABLES; KERNEL MACHINE; LABORATORY TEST; LEAST SQUARES SUPPORT VECTOR MACHINES; POLLUTED INSULATORS; PRIMAL-DUAL;

APPROXIMATION THEORY; CONSTRAINED OPTIMIZATION; ELECTRIC INSULATION; ELECTRIC INSULATORS; FLASHOVER; FORECASTING;

SUPPORT VECTOR MACHINES;

EID: 84864683419     PISSN: 00849162     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEIDP.2011.6232680     Document Type: Conference Paper

References (8)

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