Parametric Modeling of Microwave Filter using the Neuro-Coupling Matrix Method

IEEE International Microwave Filter Workshop (IMFW) 2026

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Authors: Yang Yu, Shaochang Liu, Feng Feng, Mingdong Li, Wei Liu, Qi‐Jun Zhang
DOI: 10.1109/imfw64610.2026.11419014
Cited by: 0
References: 8

Abstract

Parametric modeling is efficient for the electromagnetic design and optimization of microwave filters. This paper presents a neuro-coupling matrix (neuro-CM) method for microwave filters and applies it to the parametric modeling of a fourth-order filter. Compared with the neuro-transfer function method, the neuro-CM method demonstrates its superior modeling accuracy and robustness, showing strong potential and applicability in microwave filter design.

Fields of Study & Subjects

Microwave Engineering and Waveguides Neural Networks and Applications Microwave and Dielectric Measurement Techniques

Publication details

Journal / source
IEEE International Microwave Filter Workshop (IMFW)
Pages
1–3
Publication date
7 February 2026
Language
EN