Efficient approach for modeling substrate integrated waveguides

MICROWAVE AND OPTICAL TECHNOLOGY LETTERS(2022)

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摘要
In this letter, a highly accurate surrogate model of substrate integrated waveguide (SIW) is proposed. This model allows designers to design SIW structures more efficiently compared to existing complex and CPU-intensive fine approaches. Based on the multivariate linear regression technique, an accurate equation linking the physical parameters of the proposed surrogate but simple model to the fine but complex model was obtained. The accuracy and efficiency of the proposed modeling procedure were demonstrated through a practical design example.
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关键词
fine mode, machine learning, multivariate linear regression, SIW, surrogate model
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