Estimating training data boundaries in surrogate-based modeling

Structural and Multidisciplinary Optimization

Volumn 42, Issue 6, 2010, Pages 811-821

  Pineda, Luis E ^a   Fregly, Benjamin J ^b   Haftka, Raphael T ^b   Queipo, Nestor V ^a  

^a UNIVERSIDAD DEL ZULIA   (Venezuela)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

Mahalanobis distance; Surrogate modeling; Training data boundaries

Indexed keywords

COMPUTATIONALLY EFFICIENT; CONVEX-HULL APPROACH; DIMENSIONAL PROBLEMS; ERROR RATE; INPUT SPACE; MAHALANOBIS DISTANCES; SURROGATE MODEL; SURROGATE MODELING; SURROGATE-BASED MODELING; TRAINING DATA;

BIOMECHANICS;

FUEL ADDITIVES;

EID: 78049375624     PISSN: 1615147X     EISSN: 16151488     Source Type: Journal    
DOI: 10.1007/s00158-010-0541-7     Document Type: Article

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