Quantum clustering-based weighted linear programming support vector regression for multivariable nonlinear problem

Soft Computing

Volumn 14, Issue 9, 2010, Pages 921-929

  Yu, Yanfang ^a   Qian, Feng ^a   Liu, Huimin ^a  

^a School of Information Science and Engineering   (China)

Author keywords

Linear programming support vector regression; Quantum clustering; Variable selection; Weighted strategy

Indexed keywords

DATA POINTS; DATA SETS; EVALUATION CRITERIA; GENERALIZATION PERFORMANCE; IMPROVED RELIABILITY; INERTIA WEIGHT; LINEAR PROGRAMMING SUPPORT VECTOR REGRESSION; MEAN SQUARED ERROR; MULTI VARIABLES; NONLINEAR PROBLEMS; NONLINEAR REGRESSION PROBLEMS; PREDICTION ERRORS; PREDICTION PRECISION; QUANTUM CLUSTERING; REGRESSION MODEL; SPARSE SOLUTIONS; SUPPORT VECTOR; SUPPORT VECTOR REGRESSIONS; TEST SETS; TRAINING ERRORS; VARIABLE SELECTION;

ALGORITHMS; FEATURE EXTRACTION; LINEAR PROGRAMMING; LINEARIZATION; OPTIMIZATION; REGRESSION ANALYSIS; STATISTICAL TESTS; VECTORS;

COMPUTER SOFTWARE SELECTION AND EVALUATION;

EID: 77951879968     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-009-0478-1     Document Type: Article

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