Parametric S-Parameter Prediction Using Deep Learning
We construct a neural network model of S-parameters, from which the S-parameters can be quickly pre-dicted. Numerical tests on a filter model show that the proposed method accurately predicts the S-parameters with multiple sharp resonances.
Authors
- Valentín de la Rubia (ORCID: https://orcid.org/0000-0002-2894-6813)
- Peter Benner (ORCID: https://orcid.org/0000-0003-3362-4103)
- V. Bansal (ORCID: https://orcid.org/0000-0002-0944-7226)
- Lihong Feng
Institutions
- Max Planck Institute for Dynamics of Complex Technical Systems (DE)
- Indian Institute of Technology Delhi (IN)
- Universidad Politécnica de Madrid (ES)
Publication Details
- Published
- 2024-10-06
- DOI
- https://doi.org/10.1109/epeps61853.2024.10754126
- Primary Topic
- Advanced Measurement and Metrology Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00