An Integrated Surrogate Modeling Approach for Materials and Process Design
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-48170-8_39
Reference13 articles.
1. M. Senn, N. Link, and P. Gumbsch. “Optimal Process Control through Feature-Based State Tracking Along Process Chains”. Second World Congress on Integrated Computational Materials Engineering (2013).
2. M. Senn et al. “Reducing the Computational Effort of Optimal Process Controllers for Continuous State Spaces by Using Incremental Learning and Post-Decision State Formulations”. Journal of Process Control, 24 (3), (2014), 133–143.
3. H. A. Dror and D. M. Steinberg. “Sequential Experimental Designs for Generalized Linear Models”. Journal of the American Statistical Association, 103 (481), (2008), 288–298.
4. K. Crombecq et al. “A Novel Sequential Design Strategy for Global Surrogate Modeling”. Proceedings of the 41th Conference on Winter Simulation (2009).
5. D. Gorissen et al. “A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design”. Journal of Machine Learning Research, 11 (1), (2010), 2051–2055.
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