Application of Improved SROM Based on RBF Neural Network Model in EMC Worst Case Estimation
Bing Hu,
Yingxin Wang,
Shenghang Huo
et al.
Abstract:The Stochastic Reduced-Order Models (SROMs) are a non-embedded uncertainty analysis method that has the advantages of high computational efficiency, easy implementation, and no dimensional disasters. Recently, it has been widely used in the field of EMC simulation. In the process of optimizing electromagnetic protection design, the worst-case estimation value is an extremely important uncertainty quantification simulation result. However, the SROMs have a large error in providing this result, which limits its … Show more
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