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Volumn 44, Issue 5, 2011, Pages 651-671

Ensemble of surrogates with recursive arithmetic average

Author keywords

Design of experiment; Ensemble; Metamodel; Recursive arithmetic average; Surrogate

Indexed keywords

APPROXIMATE MODEL; BENCH-MARK PROBLEMS; COMPLEX PRODUCT SYSTEMS; ENGINEERING PROBLEMS; ENSEMBLE; ENSEMBLE MODELS; ENSEMBLE TECHNIQUES; INSURANCE POLICIES; META MODEL; ONE-OF-A-KIND PRODUCTION; PREDICTION ACCURACY; RECURSIVE ARITHMETIC AVERAGE; RECURSIVE PROCESS; SURROGATE; SURROGATE MODEL; TRAINING SETS;

EID: 84855812994     PISSN: 1615147X     EISSN: 16151488     Source Type: Journal    
DOI: 10.1007/s00158-011-0655-6     Document Type: Article
Times cited : (86)

References (30)
  • 1
    • 56449097052 scopus 로고    scopus 로고
    • Ensemble of metamodels with optimized weight factors
    • Acar E, Rais-Rohani M (2009) Ensemble of metamodels with optimized weight factors. Struct Multidisc Optim 37:279-294
    • (2009) Struct Multidisc Optim , vol.37 , pp. 279-294
    • Acar, E.1    Rais-Rohani, M.2
  • 4
    • 0000082112 scopus 로고
    • Spatial prediction and ordinary kriging
    • Cresssie N (1988) Spatial prediction and ordinary kriging. Math Geol 20(4):405-421
    • (1988) Math Geol , vol.20 , Issue.4 , pp. 405-421
    • Cresssie, N.1
  • 5
    • 0000663580 scopus 로고
    • On multivariate polynomial interpolation
    • De Boor C, Ron A (1990) On multivariate polynomial interpolation. Constr Approx 6:287-302
    • (1990) Constr Approx , vol.6 , pp. 287-302
    • De Boor, C.1    Ron, A.2
  • 6
    • 33646426415 scopus 로고    scopus 로고
    • Global response approximation with radial basis functions
    • Fang H, Horstemeyer MF (2006) Global response approximation with radial basis functions. Eng Optim 38(4):407-424
    • (2006) Eng Optim , vol.38 , Issue.4 , pp. 407-424
    • Fang, H.1    Horstemeyer, M.F.2
  • 7
    • 58549086381 scopus 로고    scopus 로고
    • Recent advances in surrogate-based optimization
    • Forrester AIJ, Keane AJ (2009) Recent advances in surrogate-based optimization. Prog Aerosp Sci 45(1-3):50-79
    • (2009) Prog Aerosp Sci , vol.45 , Issue.1-3 , pp. 50-79
    • Forrester, A.I.J.1    Keane, A.J.2
  • 8
    • 0002432565 scopus 로고
    • Multivariate adaptive regressive splines
    • Friedman JH (1991) Multivariate adaptive regressive splines. Ann Stat 19(1):1-67
    • (1991) Ann Stat , vol.19 , Issue.1 , pp. 1-67
    • Friedman, J.H.1
  • 10
    • 0001018295 scopus 로고
    • Multiquadratic equations of topography and other irregular surfaces
    • Hardy R (1971) Multiquadratic equations of topography and other irregular surfaces. J Geophys Res 76:1905-1915
    • (1971) J Geophys Res , vol.76 , pp. 1905-1915
    • Hardy, R.1
  • 11
    • 0035727744 scopus 로고    scopus 로고
    • Comparative studies of metamodelling techniques under multiple modelling criteria
    • DOI 10.1007/s00158-001-0160-4
    • Jin R, Chen W, Simpson TW (2001) Comparative studies of metamodeling techniques under multiple modeling criteria. Struct Multidisc Optim 23(1):1-13 (Pubitemid 34271934)
    • (2001) Structural and Multidisciplinary Optimization , vol.23 , Issue.1 , pp. 1-13
    • Jin, R.1    Chen, W.2    Simpson, T.W.3
  • 12
    • 25144463079 scopus 로고    scopus 로고
    • A user's guide to the brave new world of designing simulation experiments
    • DOI 10.1287/ijoc.1050.0136
    • Kleijnen JPC, Sanchez SM, Lucas TW, Cioppa TM (2005) A users guide to the brave new world of designing simulation experiments. INFORMS J Comput 17(3):263-289 (Pubitemid 41342309)
    • (2005) INFORMS Journal on Computing , vol.17 , Issue.3 , pp. 263-289
    • Kleijnen, J.P.C.1    Sanchez, S.M.2    Lucas, T.W.3    Cioppa, T.M.4
  • 14
    • 0029407395 scopus 로고
    • Applications of machine learning and rule induction
    • Langley P, Simon HA (1995) Applications of machine learning and rule induction. Commun ACM 38(11):55-64
    • (1995) Commun ACM , vol.38 , Issue.11 , pp. 55-64
    • Langley, P.1    Simon, H.A.2
  • 17
    • 0036806493 scopus 로고    scopus 로고
    • Computationally inexpensive metamodel assessment strategies
    • Meckesheimer M, Barton R, Simpson T, Booker A (2002) Computationally inexpensive metamodel assessment strategies. AIAA J 40(10):2053-2060 (Pubitemid 35295818)
    • (2002) AIAA Journal , vol.40 , Issue.10 , pp. 2053-2060
    • Meckesheimer, M.1    Booker, A.J.2    Barton, R.R.3    Simpson, T.W.4
  • 19
    • 0000926506 scopus 로고
    • When networks disagree: Ensemble methods for hybrid neural networks
    • Mammone RJ (ed) Chapman and Hall, London
    • Perrone M, Cooper L (1993) When networks disagree: ensemble methods for hybrid neural networks. In: Mammone RJ (ed) Artificial neural networks for speech and vision. Chapman and Hall, London, pp 126-142
    • (1993) Artificial Neural Networks for Speech and Vision. , pp. 126-142
    • Perrone, M.1    Cooper, L.2
  • 20
    • 84950445313 scopus 로고
    • Cross-validation of regression models
    • Picard R, Cook R (1984) Cross-validation of regression models. J Am Stat Assoc 79(387):575-583
    • (1984) J Am Stat Assoc , vol.79 , Issue.387 , pp. 575-583
    • Picard, R.1    Cook, R.2
  • 24
    • 84972517827 scopus 로고
    • Design and analysis of computer experiments
    • Sacks J, Welch WJ, Mitchell TJ, Wynn HP (1989b) Design and analysis of computer experiments. Stat Sci 4(4):409-435
    • (1989) Stat Sci , vol.4 , Issue.4 , pp. 409-435
    • Sacks, J.1    Welch, W.J.2    Mitchell, T.J.3    Wynn, H.P.4
  • 26
    • 69949172900 scopus 로고    scopus 로고
    • Multiple surrogate: How cross-validation errors can help us to obtain the best predictor
    • Viana FAC, Haftka RT, Steffen V (2009) Multiple surrogate: how cross-validation errors can help us to obtain the best predictor. Struct Multidisc Optim 39:439-457
    • (2009) Struct Multidisc Optim , vol.39 , pp. 439-457
    • Viana, F.A.C.1    Haftka, R.T.2    Steffen, V.3
  • 28
    • 34248346299 scopus 로고    scopus 로고
    • Review of metamodeling techniques in support of engineering design optimization
    • Wang GG, Shan S (2007) Review of metamodeling techniques in support of engineering design optimization. Trans ASME J Mech Des 129(4):370-381
    • (2007) Trans ASME J Mech des , vol.129 , Issue.4 , pp. 370-381
    • Wang, G.G.1    Shan, S.2
  • 29
    • 0141573227 scopus 로고    scopus 로고
    • Regression with multiple candidate models: Selecting or mixing?
    • Yang Y (2003) Regression with multiple candidate models: selecting or mixing? Stat Sin 13(5):783-809 (Pubitemid 37155854)
    • (2003) Statistica Sinica , vol.13 , Issue.3 , pp. 783-809
    • Yang, Y.1
  • 30
    • 20444437997 scopus 로고    scopus 로고
    • An optimization methodology of alkaline-surfactant-polymer flooding processes using field scale numerical simulation and multiple surrogates
    • DOI 10.1016/j.petrol.2005.03.002, PII S0920410505000379
    • Zerpa L, Queipo N, Pintos S, Salager J (2005) An optimization methodology of alkaline-surfactant-polymer flooding processes using field scale numerical simulation and multiple surrogates. J Pet Sci Eng 47:197-208 (Pubitemid 40829362)
    • (2005) Journal of Petroleum Science and Engineering , vol.47 , Issue.3-4 , pp. 197-208
    • Zerpa, L.E.1    Queipo, N.V.2    Pintos, S.3    Salager, J.-L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.