Enhancement and Expansion of the Neural Network-Based Compact Model Using a Binning Method
The artificial neural network (ANN)-based compact model has significant advantages over physics-based standard compact models such as BSIM-CMG because it can achieve higher accuracy over a wide range of geometric parameters. This makes it particularly suitable for design space exploration and optimi...
Saved in:
Main Authors: | Jinyoung Choi, Hyunjoon Jeong, Sangmin Woo, Hyungmin Cho, Yohan Kim, Jeong-Taek Kong, Soyoung Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Journal of the Electron Devices Society |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10371311/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development and validation of an earphone-based system to measure short physical performance battery in older adults
by: Hyeob Choi, et al.
Published: (2025-03-01) -
Bush versus Bin Laden in Time
by: Johann de Wet
Published: (2022-10-01) -
Artificial Neural Network (ANN) based Proportional Integral Derivative (PID) for Arm Rehabilitation Device
by: salam waley shneen, et al.
Published: (2025-02-01) -
THE METHOD OF DESIGNING HYDRAULIC DRIVES ON THE EXAMPLE OF A HYDRAULIC DRIVE OF A LIFTING-MAST DEVICE
by: S. A. Smirnov, et al.
Published: (2018-02-01) -
The Concept Of Matan Critism And Its Application In The Book Al-Tamyīz By Muslim Bin Ḥajjāj
by: Dzulfaidhi Hakimie Dzulraidi
Published: (2024-11-01)