TY - GEN
T1 - Fast Monte-Carlo analysis method of ring oscillators with neural networks
AU - Choi, Tae Hoon
AU - Jeong, Hanwool
AU - Jung, Seong Ook
N1 - Publisher Copyright:
© 2018 Institute of Electronics and Information Engineers.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/4/2
Y1 - 2018/4/2
N2 - Because of the slow speed of SPICE Monte-Carlo (MC) simulation, the limited number of MC samples causes inaccuracy for statistical analysis of ring oscillators. In this paper, we propose the MC simulation method of ring oscillators with artificial neural networks, which shows 5 order faster than SPICE. It is shown that the figure of merits of the ring oscillator can be accurately estimated through simple neural networks training with random samples of SPICE data.
AB - Because of the slow speed of SPICE Monte-Carlo (MC) simulation, the limited number of MC samples causes inaccuracy for statistical analysis of ring oscillators. In this paper, we propose the MC simulation method of ring oscillators with artificial neural networks, which shows 5 order faster than SPICE. It is shown that the figure of merits of the ring oscillator can be accurately estimated through simple neural networks training with random samples of SPICE data.
UR - http://www.scopus.com/inward/record.url?scp=85048580505&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048580505&partnerID=8YFLogxK
U2 - 10.23919/ELINFOCOM.2018.8330633
DO - 10.23919/ELINFOCOM.2018.8330633
M3 - Conference contribution
AN - SCOPUS:85048580505
T3 - International Conference on Electronics, Information and Communication, ICEIC 2018
SP - 1
EP - 4
BT - International Conference on Electronics, Information and Communication, ICEIC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th International Conference on Electronics, Information and Communication, ICEIC 2018
Y2 - 24 January 2018 through 27 January 2018
ER -