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Surrogate based sensitivity analysis of process equipment

DW Stephens, Dirk Gorissen (UGent), Karel Crombecq (UGent) and Tom Dhaene (UGent)
(2011) APPLIED MATHEMATICAL MODELLING. 35(4). p.1676-1687
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Keywords
Radial basis function, Artificial neural networks, Support vector machines, Sensitivity analysis, Computational fluid dynamics, Surrogate, OPTIMIZATION, MODELS, UNCERTAINTIES, RATE COEFFICIENTS, COUPLED REACTION SYSTEMS

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Chicago
Stephens, DW, Dirk Gorissen, Karel Crombecq, and Tom Dhaene. 2011. “Surrogate Based Sensitivity Analysis of Process Equipment.” Applied Mathematical Modelling 35 (4): 1676–1687.
APA
Stephens, DW, Gorissen, D., Crombecq, K., & Dhaene, T. (2011). Surrogate based sensitivity analysis of process equipment. APPLIED MATHEMATICAL MODELLING, 35(4), 1676–1687.
Vancouver
1.
Stephens D, Gorissen D, Crombecq K, Dhaene T. Surrogate based sensitivity analysis of process equipment. APPLIED MATHEMATICAL MODELLING. 2011;35(4):1676–87.
MLA
Stephens, DW, Dirk Gorissen, Karel Crombecq, et al. “Surrogate Based Sensitivity Analysis of Process Equipment.” APPLIED MATHEMATICAL MODELLING 35.4 (2011): 1676–1687. Print.
@article{1268265,
  author       = {Stephens, DW and Gorissen, Dirk and Crombecq, Karel and Dhaene, Tom},
  issn         = {0307-904X},
  journal      = {APPLIED MATHEMATICAL MODELLING},
  keyword      = {Radial basis function,Artificial neural networks,Support vector machines,Sensitivity analysis,Computational fluid dynamics,Surrogate,OPTIMIZATION,MODELS,UNCERTAINTIES,RATE COEFFICIENTS,COUPLED REACTION SYSTEMS},
  language     = {eng},
  number       = {4},
  pages        = {1676--1687},
  title        = {Surrogate based sensitivity analysis of process equipment},
  url          = {http://dx.doi.org/10.1016/j.apm.2010.09.044},
  volume       = {35},
  year         = {2011},
}

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