Circuit Connectivity Inspired Neural Network for Analog Mixed-Signal Functional Modeling-Reference-Cited by-同舟云学术

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Circuit Connectivity Inspired Neural Network for Analog Mixed-Signal Functional Modeling

Published:2021-12-05 Issue: Volume: Page:
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Container-title:2021 58th ACM/IEEE Design Automation Conference (DAC)
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Author:

Hassanpourghadi Mohsen,Su Shiyu,Rasul Rezwan A,Liu Juzheng,Zhang Qiaochu,Chen Mike Shuo-Wei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9585997/9586083/09586236.pdf?arnumber=9586236

Cited by 9 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. Machine learning driven global optimisation framework for analog circuit design;Microelectronics Journal;2024-09

2. A Wideband Behavioral Model with Multiple States for RF Power Amplifier Based on Improved Recurrent Neural Network;2024 2nd International Symposium of Electronics Design Automation (ISEDA);2024-05-10

3. MA-Opt: Reinforcement Learning-Based Analog Circuit Optimization Using Multi-Actors;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-05

4. A Transferable GNN-based Multi-Corner Performance Variability Modeling for Analog ICs;2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC);2024-01-22

5. FuNToM: Functional Modeling of RF Circuits Using a Neural Network Assisted Two-Port Analysis Method;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28

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