An adaptive response surface method for continuous Bayesian model calibration-Reference-Cited by-同舟云学术

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An adaptive response surface method for continuous Bayesian model calibration

Published:2016-03-16 Issue:3 Volume:31 Page:725-741
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Sarkarfarshi Mirhamed,Gracie Robert

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00477-016-1231-9.pdf

Reference42 articles.

1. Abraham A (2005) Adaptation of fuzzy inference system using neural learning. In: Abraham A, Nedjah N, Mourelle LM (eds) Fuzzy systems engineering. Springer, Heidelberg, p 53–83

2. Bachu S (2000) Sequestration of CO2 in geological media, criteria and approach for site selection in response to climate change. Energy Conserv Manag 41:953–970

3. Bachu S (2008) CO2 storage in geological media: role, means, status and barriers to deployment. Prog Energy Combust Sci 34:254–273

4. Balakrishnan S, Roy A, Ierapetritou MG, Flach GP, Georgopoulos PG (2003) Uncertainty reduction and characterization for complex environmental fate and transport models: an empirical bayesian framework incorporating the stochastic response surface method. Water Resour Res, 39(12):1350–1362

5. Barton RR (1994) Metamodeling: a state of the art review. Proceedings of the 1994 winter simulation conference, pp 237–244

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