Enhancing Evolution of Neural Network Assisted Compact Model Through Continual Learning

Enhancing Evolution of Neural Network Assisted Compact Model Through Continual Learning

Continual learning (CL) in neural network assisted compact modeling (NNCM) provides a sustainable approach desired for model evolution in novel device development, owing knowledge transfer from prior compact model could reduce model training cost and shorten development cycle. In this work, CL metho...

Full description

Saved in:
Bibliographic Details
Main Authors: Shuhan Wang, Zheng Zhou, Guihai Yu, Zili Tang, Jinghan Xu, Xiaoyan Liu, Xing Zhang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of the Electron Devices Society
Subjects:
Compact model
continual learning
neural network
knowledge transfer
Online Access:https://ieeexplore.ieee.org/document/10752563/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10752563/

Similar Items