Surrogate model (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Surrogate model" in English language version.

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arxiv.org

Ranftl, Sascha; von der Linden, Wolfgang (2021-11-13). "Bayesian Surrogate Analysis and Uncertainty Propagation". Physical Sciences Forum. 3 (1): 6. arXiv:2101.04038. doi:10.3390/psf2021003006. ISSN 2673-9984.

doi.org

Ranftl, Sascha; von der Linden, Wolfgang (2021-11-13). "Bayesian Surrogate Analysis and Uncertainty Propagation". Physical Sciences Forum. 3 (1): 6. arXiv:2101.04038. doi:10.3390/psf2021003006. ISSN 2673-9984.
Cardenas, IC (2019). "On the use of Bayesian networks as a meta-modeling approach to analyse uncertainties in slope stability analysis". Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. 13 (1): 53–65. Bibcode:2019GAMRE..13...53C. doi:10.1080/17499518.2018.1498524. S2CID 216590427.
Bouhlel, M.A.; Hwang, J.H.; Bartoli, Nathalie; Lafage, R.; Morlier, J.; Martins, J.R.R.A. (2019). "A Python surrogate modeling framework with derivatives". Advances in Engineering Software. 135: 102662. doi:10.1016/j.advengsoft.2019.03.005. S2CID 128324330.

harvard.edu

ui.adsabs.harvard.edu

Cardenas, IC (2019). "On the use of Bayesian networks as a meta-modeling approach to analyse uncertainties in slope stability analysis". Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. 13 (1): 53–65. Bibcode:2019GAMRE..13...53C. doi:10.1080/17499518.2018.1498524. S2CID 216590427.

ieee.org

ieeexplore.ieee.org

J.W. Bandler, Q. Cheng, S.A. Dakroury, A.S. Mohamed, M.H. Bakr, K. Madsen and J. Søndergaard, "Space mapping: the state of the art," IEEE Trans. Microwave Theory Tech., vol. 52, no. 1, pp. 337-361, Jan. 2004.
J.E. Rayas-Sanchez,"Power in simplicity with ASM: tracing the aggressive space mapping algorithm over two decades of development and engineering applications", IEEE Microwave Magazine, vol. 17, no. 4, pp. 64-76, April 2016.

inria.fr

hal.inria.fr

Loshchilov, I.; M. Schoenauer; M. Sebag (2010). "Comparison-Based Optimizers Need Comparison-Based Surrogates" (PDF). Parallel Problem Solving from Nature (PPSN XI). Springer. pp. 364–1373.

ressources-actuarielles.net

Jones, D.R (2001), "A taxonomy of global optimization methods based on response surfaces," Journal of Global Optimization, 21:345–383.

semanticscholar.org

api.semanticscholar.org

Cardenas, IC (2019). "On the use of Bayesian networks as a meta-modeling approach to analyse uncertainties in slope stability analysis". Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. 13 (1): 53–65. Bibcode:2019GAMRE..13...53C. doi:10.1080/17499518.2018.1498524. S2CID 216590427.
Bouhlel, M.A.; Hwang, J.H.; Bartoli, Nathalie; Lafage, R.; Morlier, J.; Martins, J.R.R.A. (2019). "A Python surrogate modeling framework with derivatives". Advances in Engineering Software. 135: 102662. doi:10.1016/j.advengsoft.2019.03.005. S2CID 128324330.

springerprofessional.de

Dasari, S.K.; P. Andersson; A. Cheddad (2019). "Random Forest Surrogate Models to Support Design Space Exploration in Aerospace Use-Case". Artificial Intelligence Applications and Innovations (AIAI 2019). Springer. pp. 532–544. Retrieved 2019-06-02.

umich.edu

mdolab.engin.umich.edu

Bouhlel, M.A.; Hwang, J.H.; Bartoli, Nathalie; Lafage, R.; Morlier, J.; Martins, J.R.R.A. (2019). "A Python surrogate modeling framework with derivatives". Advances in Engineering Software. 135: 102662. doi:10.1016/j.advengsoft.2019.03.005. S2CID 128324330.

worldcat.org

search.worldcat.org

Ranftl, Sascha; von der Linden, Wolfgang (2021-11-13). "Bayesian Surrogate Analysis and Uncertainty Propagation". Physical Sciences Forum. 3 (1): 6. arXiv:2101.04038. doi:10.3390/psf2021003006. ISSN 2673-9984.