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Space mapping is a recognized method for speeding up electromagnetic (EM) optimization. This paper describes a neural space mapping optimization method. In this method, neural networks are used as mapping function instead of linear mapping function. The surrogate model developed in each iteration is trained to match the fine model at single point. Through training process, Neural networks can give...
Space mapping (SM) is a recognized method for speeding up electromagnetic (EM) optimization. Existing SM approaches are mostly based on sequential computation mechanism. This paper proposes a parallel SM method for EM optimization. In the proposed method, the surrogate model developed in each iteration is trained to match the fine model at multiple points simultaneously. Multi-point training and SM...
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