Recent Advances in Parametric Modeling Using MOR-based Neuro-TF With Different Formats for Microwave Components
Author:
Affiliation:
1. School of Microelectronics, Tianjin University,Tianjin,China,300072
2. Southeast University,State Key Laboratory of Millimeter Waves,Nanjing,China,210096
3. School of Electrical and Electronic Engineering, Tiangong University,Tianjin,China,300387
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10068860/10068781/10068783.pdf?arnumber=10068783
Reference6 articles.
1. A Novel Training Approach for Parametric Modeling of Microwave Passive Components Using Padé via Lanczos and EM Sensitivities
2. An Adaptive Method for Interpolating Reduced-Order Models Based on Matching and Continuation of Poles
3. Interpolation of Reduced-Order Models Based on Modal Analysis
4. Parameterized Modeling Incorporating MOR-Based Rational Transfer Functions With Neural Networks for Microwave Components
5. Parametric Modeling of EM Behavior of Microwave Components Using Combined Neural Networks and Pole-Residue-Based Transfer Functions
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