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作者:

Na, Weicong (Na, Weicong.) | Wang, Yuqian (Wang, Yuqian.) | Liu, Wenxu (Liu, Wenxu.) | Zhang, Wanrong (Zhang, Wanrong.)

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摘要:

This paper introduces a parallel electromagnetic (EM) optimization method using neuro-transfer function (neuro-TF) surrogate and isomorphic orthogonal Design of Experiments (DOE) sampling for microwave filter design. A sampling strategy that combines isomorphic orthogonal DOE with parallel EM simulations is employed to generate training data for the neuro-TF surrogate. This sampling strategy ensures a scattered distribution, thereby enhancing the accuracy of the surrogate model and speeding up the optimization process. Using adaptive splitting, a poleresidue tracking technique adjusts based on neighboring sample data, improving the continuity and precision of the surrogate's pole-residue representation. This approach results in faster and more efficient optimal solutions with fewer iterations, as demonstrated in an example of EM optimization for a microwave filter. © 2024 IEEE.

关键词:

Poles and zeros Orthogonal functions Intelligent systems Bandpass filters Structural dynamics Integrated circuit design Image coding Signal sampling

作者机构:

  • [ 1 ] [Na, Weicong]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 2 ] [Wang, Yuqian]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 3 ] [Liu, Wenxu]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 4 ] [Zhang, Wanrong]Beijing University of Technology, Faculty of Information Technology, Beijing, China

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年份: 2024

语种: 英文

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