An Application of AI Technologies to Surrogate Modeling for Simulators
Author:
Affiliation:
1. Graduate School of Science and Technology, Gunma University
Publisher
Japan Institute of Electronics Packaging
Subject
Electrical and Electronic Engineering
Link
https://www.jstage.jst.go.jp/article/jiep/25/5/25_399/_pdf
Reference16 articles.
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2. 2) F. Serafin, O. David, J. R. Carlson, T. R. Green, and R. Rigon: "Bridging technology transfer boundaries: Integrated cloud services deliver results of nonlinear process models as surrogate model ensembles," Environmental Modelling and Software, 146, 105231, https://doi.org/10.1016/j.envsoft.2021.105231 2021
3. 3) 菅井友駿，新谷浩平，阿部充治，山本 泰：“特徴抽出を用いた伝達関数に対するサロゲートモデルの構築法，”日本機械学会，第29回設計工学・システム部門講演会講演論文集，No. 19-35, 2019
4. 4) S. Choa, M. Kima, B. Lyub, and I. Moona: "Optimization of an explosive waste incinerator via an artificial neural network surrogate model," Chemical Engineering Journal, 407, 126659, https://doi.org/10.1016/j.cej.2020.126659 2021
5. 5) M. B. Yelten, P. D. Franzon, and M. B. Steer: "Surrogate-Model-Based Analysis of Analog Circuits—Part I: Variability Analysis," IEEE Transactions on Device and Materials Reliability, Vol. 11, No. 3, pp. 458–465, 2011
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