ANN-enabled Mapping Between Equivalent Circuit Model and Physical Field Model for Tunable Bandpass Filter-Reference-Cited by-同舟云学术

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ANN-enabled Mapping Between Equivalent Circuit Model and Physical Field Model for Tunable Bandpass Filter

Published:2023-06-28 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)
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Author:

Roy Chandan¹,Wu Ke¹

Affiliation:

1. Polytechnique Montreal,Poly-Grames Research Center,Department of Electrical Engineering,Montreal,Quebec,Canada,H3T 1J4

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10202212/10202164/10202462.pdf?arnumber=10202462

Reference14 articles.

1. Training feedforward networks with the Marquardt algorithm

2. Homotopy Optimization of Microwave and Millimeter-Wave Filters Based on Neural Network Model

3. A New Class of K-Band High-Q Frequency-Tunable Circular Cavity Filter

4. Unified equivalent-circuit model of planar discontinuities suitable for field theory-based CAD and optimization of M(H)MIC's;zhu;IEEE Trans Microw Theory Techn,1999

5. Thru-Reflect-Line: An Improved Technique for Calibrating the Dual Six-Port Automatic Network Analyzer

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1. A tree-recursive partitioned multicast mechanism for NoC-based deep neural network accelerator;Microelectronics Journal;2024-05

2. A Mesh Space Mapping Modeling Method with Mesh Deformation for Microwave Components;Micromachines;2023-09-17

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