Inverse Design of Transmission Lines with Deep Learning-Reference-Cited by-同舟云学术

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Inverse Design of Transmission Lines with Deep Learning

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 28th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)
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Author:

Roy Kallol,Dolatsara Majid Ahadi,Torun Hakki M.,Trinchero Riccardo,Swaminathan Madhavan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9066777/9072967/09073168.pdf?arnumber=9073168

Cited by 11 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. Deep Neural Network-Based Surrogate-Assisted Inverse Optimization for High-Speed Interconnects;IEEE Transactions on Electromagnetic Compatibility;2024

2. AI Models for Supporting SI Analysis on PCB Net Structures: Comparing Linear and Non-Linear Data Sources;Advances in Radio Science;2023-12-01

3. AI-Based SI-Compliant PCB Design Support for DDR Technology Enhanced by Transfer Learning;2023 International Symposium on Electromagnetic Compatibility – EMC Europe;2023-09-04

4. Physics-Informed Supervised Residual Learning for Electromagnetic Modeling;IEEE Transactions on Antennas and Propagation;2023-04

5. To predict the characteristic impedance of the microstrip transmission line using supervised machine learning regression techniques;International Journal of Computer Applications in Technology;2023

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