메뉴 건너뛰기




Volumn 28, Issue 4, 2012, Pages 354-361

How to choose the simulation model for computer experiments: A local approach

Author keywords

computer code validation; computer experiment; Gaussian process model; kernel interpolation; sheet metal forming

Indexed keywords

COMPUTER CODE VALIDATION; COMPUTER EXPERIMENT; DESIGN POINTS; DESIGN SPACES; FINITE ELEMENT SIMULATIONS; GAUSSIAN PROCESS MODELS; LOCAL APPROACHES; META MODEL; RADIAL BASIS FUNCTION INTERPOLATION; SIMULATION MODEL;

EID: 84865149121     PISSN: 15241904     EISSN: 15264025     Source Type: Journal    
DOI: 10.1002/asmb.909     Document Type: Article
Times cited : (4)

References (13)
  • 4
    • 0007312235 scopus 로고    scopus 로고
    • Predicting the output from a complex computer code when fast approximations are available
    • DOI: 10.1093/biomet/87.1.1
    • Kennedy MC, O'Hagan A,. Predicting the output from a complex computer code when fast approximations are available. Biometrika 2000; 87: 1-13, DOI: 10.1093/biomet/87.1.1.
    • (2000) Biometrika , vol.87 , pp. 1-13
    • Kennedy, M.C.1    O'Hagan, A.2
  • 5
    • 46749084250 scopus 로고    scopus 로고
    • Bayesian hierarchical modeling for integrating low-accuracy and high-accuracy experiments
    • DOI: 10.1198/004017008000000082
    • Quian PZG, Wu CFJ,. Bayesian hierarchical modeling for integrating low-accuracy and high-accuracy experiments. Technometrics 2008; 50: 192-204, DOI: 10.1198/004017008000000082.
    • (2008) Technometrics , vol.50 , pp. 192-204
    • Quian, P.Z.G.1    Wu, C.F.J.2
  • 10
    • 85095815155 scopus 로고    scopus 로고
    • Radial basis functions
    • Buhmann MD,. Radial basis functions. Acta Numerica 2000; 9: 1-38.
    • (2000) Acta Numerica , vol.9 , pp. 1-38
    • Buhmann, M.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.