Advanced Autoencoder Transfer Function Parameter Extraction Technique for Neuro-TF Parametric Modeling of Microwave Components
Author:
Affiliation:
1. Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, School of Microelectronics, Tianjin University, Tianjin, China
2. Department of Electronics, Carleton University, Ottawa, ON, Canada
Funder
National Natural Science Foundation of China
Key Research and Development and Transformation Project of Qinghai Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/9944983/10527217/10479067.pdf?arnumber=10479067
Reference21 articles.
1. EM-Based Optimization of Microwave Circuits Using Artificial Neural Networks: The State-of-the-Art
2. Artificial neural networks for rf and microwave design-from theory to practice
3. Computer-Aided Optimization of Nonlinear Microwave Circuits With the Aid of Electromagnetic Simulation
4. Modeling of Voltage-Controlled Oscillators Including I/O Behavior Using Augmented Neural Networks
5. An Artificial Neural Network-Based Electrothermal Model for GaN HEMTs With Dynamic Trapping Effects Consideration
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Novel Neuro-Coupling Matrix Technique for Parametric Modeling of Microwave Filters;IEEE Microwave and Wireless Technology Letters;2024-07
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