A Transfer Learning Approach to Expedite Training of Artificial Neural Networks for Variability-Aware Signal Integrity Analysis of MWCNT Interconnects-Reference-Cited by-同舟云学术

A Transfer Learning Approach to Expedite Training of Artificial Neural Networks for Variability-Aware Signal Integrity Analysis of MWCNT Interconnects

Published:2022-10-09 Issue: Volume: Page:
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Container-title:2022 IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)
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Author:

Guglani Surila¹,Dimple Km¹,Dasgupta Avirup¹,Sharma Rohit²,Kaushik Brajesh Kumar¹,Roy Sourajeet¹

Affiliation:

1. Indian Institute of Technology Roorkee,Department of Electronics and Communication Engineering,Roorkee,India

2. Indian Institute of Technology Ropar,Department of Electrical Engineering,Ropar,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9947062/9947092/09947162.pdf?arnumber=9947162

Reference10 articles.

1. Circuit Modeling and Performance Analysis of Multi-Walled Carbon Nanotube Interconnects

2. A Predictor–Corrector Algorithm for Fast Polynomial Chaos-Based Uncertainty Quantification of Multi-Walled Carbon Nanotube Interconnects

3. The application of neural networks to EM-based simulation and optimization of interconnects in high-speed VLSI circuits

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