Large Signal Modeling for Microwave Power Devices Based on LSTM-Reference-Cited by-同舟云学术

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Large Signal Modeling for Microwave Power Devices Based on LSTM

Published:2022-06-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
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Author:

Wu Taosuo¹,Wang Xiao-zheng²,Lin Qian²,Bai Hongmei³

Affiliation:

1. School of Physics and Electronic Information, Hulunbuir University,Hulunbuir,China

2. College of Physics and Electronic Information Engineer, Qinghai Minzu University,Xining,China,810007

3. School of Mathematics and Statistics, Hulunbuir University,Hulunbuir,China

Funder

Chinese Academy of Sciences

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9836326/9836330/09836905.pdf?arnumber=9836905

Reference15 articles.

1. Parametric Modeling of EM Behavior of Microwave Components Using Combined Neural Networks and Hybrid-Based Transfer Functions

2. Recent advances in neural network‐based inverse modeling techniques for microwave applications

3. A neural network modeling approach to circuit optimization and statistical design

4. Exact adjoint sensitivity analysis for neural-based microwave modeling and design

5. A Novel Deep Neural Network Topology for Parametric Modeling of Passive Microwave Components

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2. Transistor modeling based on LM‐BPNN and CG‐BPNN for the GaAs pHEMT;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields;2024-07

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