Controlled Stratification Based on Kriging Surrogate Model: An Algorithm for Determining Extreme Quantiles in Electromagnetic Compatibility Risk Analysis-Reference-Cited by-同舟云学术

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Controlled Stratification Based on Kriging Surrogate Model: An Algorithm for Determining Extreme Quantiles in Electromagnetic Compatibility Risk Analysis

Published:2020 Issue: Volume:8 Page:3837-3847
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Houret T.^ORCID,Besnier P.^ORCID,Vauchamp S.^ORCID,Pouliguen P.^ORCID

Funder

Délégation Générale de l’Armement

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/08939379.pdf?arnumber=8939379

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Wideband Kriging for Multiobjective Optimization of a High-Voltage EMI Filter;IEEE Transactions on Electromagnetic Compatibility;2024-08

2. A Domain Decomposition Approach for Cost Effective Transmission Lines Time Domain Stochastic Simulations;IEEE Transactions on Electromagnetic Compatibility;2024-02

3. Application of Improved SROM Based on RBF Neural Network Model in EMC Worst Case Estimation;Progress In Electromagnetics Research Letters;2024

4. EMC Uncertainty Simulation Method Based on Improved Kriging Model;IEEE Letters on Electromagnetic Compatibility Practice and Applications;2023-12

5. Smart Input Space Sampling Combined with Kriging-Partial Least Square Regression for EMC Risk Analysis at PCB Level with Many Variables;2023 International Symposium on Electromagnetic Compatibility – EMC Europe;2023-09-04

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