Výsledky vyhledávání - "Hyo Cheon Woo"

Akademický článek

Training Method for Accurate Off‐Chip Training of One‐Selector‐One‐Resistor Crossbar Array with Nonlinearity and Wire Resistance

Autor: Jihun Kim, Hyo Cheon Woo, Sunwoo Lee, Byeol Jun Lee, Taegyun Park, Cheol Seong Hwang

Publikováno v: Advanced Intelligent Systems, Vol 4, Iss 8, Pp n/a-n/a (2022)

This work provides an off‐chip training method for a one‐selector‐one‐resistor (1S1R) crossbar array (CBA) device with wire resistance (rcc) and nonlinear conductance (g i,j) of 1S1R devices for hardware neural network (HNN) applications. An

Externí odkaz: https://doaj.org/article/19cd9292bb9d478a902e8dc78014ba1d

Zobrazit plný text záznamu

Akademický článek

In‐Depth Analysis of One Selector–One Resistor Crossbar Array for Its Writing and Reading Operations for Hardware Neural Network with Finite Wire Resistance

Autor: Jihun Kim, Hyo Cheon Woo, Taeyoung Jeong, Jung-Hae Choi, Cheol Seong Hwang

Publikováno v: Advanced Intelligent Systems, Vol 4, Iss 4, Pp n/a-n/a (2022)

This work provides a comprehensive analytical analysis of one‐selector‐one‐resistor (1S1R) crossbar array (CBA) device for hardware neural network (HNN) applications. Simplified analytical device models are prepared from a particular 1S1R devic

Externí odkaz: https://doaj.org/article/f8b7e5c1cc424b9c99c2f5c3efd795aa

Zobrazit plný text záznamu

Akademický článek

Markov Chain Hebbian Learning Algorithm With Ternary Synaptic Units

Autor: Guhyun Kim, Vladimir Kornijcuk, Dohun Kim, Inho Kim, Jaewook Kim, Hyo Cheon Woo, Jihun Kim, Cheol Seong Hwang, Doo Seok Jeong

Publikováno v: IEEE Access, Vol 7, Pp 10208-10223 (2019)

In spite of remarkable progress in machine learning techniques, the state-of-the-art machine learning algorithms often keep machines from real-time learning (online learning) due, in part, to computational complexity in parameter optimization. As an

Externí odkaz: https://doaj.org/article/762c3e6e3d9c49d9a6278827b2b7a246

Zobrazit plný text záznamu

Akademický článek

Memristor crossbar array for binarized neural networks

Autor: Yong Kim, Won Hee Jeong, Son Bao Tran, Hyo Cheon Woo, Jihun Kim, Cheol Seong Hwang, Kyeong-Sik Min, Byung Joon Choi

Publikováno v: AIP Advances, Vol 9, Iss 4, Pp 045131-045131-5 (2019)

Memristor crossbar arrays were fabricated based on a Ti/HfO2/Ti stack that exhibited electroforming-free behavior and low device variability in a 10 x 10 array size. The binary states of high-resistance-state and low-resistance-state in the bipolar m

Externí odkaz: https://doaj.org/article/9035c381e4b5466d8e2989b897a05d28

Zobrazit plný text záznamu

Stacked One‐Selector‐One‐Resistive Memory Crossbar Array With High Nonlinearity and On‐Current Density for the Neuromorphic Applications (Adv. Electron. Mater. 12/2022)

Autor: Hyo Cheon Woo, Jihun Kim, Sunwoo Lee, Hae Jin Kim, Cheol Seong Hwang

Publikováno v: Advanced Electronic Materials. 8:2270062

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::84c903b3846fd2b7d3bf7fdb4c9b9933
https://doi.org/10.1002/aelm.202270062

Zobrazit plný text záznamu

Markov Chain Hebbian Learning Algorithm With Ternary Synaptic Units

Autor: Hyo Cheon Woo, Ji Hun Kim, Jaewook Kim, Guhyun Kim, Dohun Kim, Vladimir Kornijcuk, Cheol Seong Hwang, Doo Seok Jeong, Inho Kim

Publikováno v: IEEE Access, Vol 7, Pp 10208-10223 (2019)

In spite of remarkable progress in machine learning techniques, the state-of-the-art machine learning algorithms often keep machines from real-time learning (online learning) due in part to computational complexity in parameter optimization. As an al

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19eef5c2e18112ef0c493ecae0dda9e3
https://ieeexplore.ieee.org/document/8607972/

Zobrazit plný text záznamu