원문정보
한국차세대컴퓨팅학회
한국차세대컴퓨팅학회 학술대회
The 7th International Conference on Next Generation Computing 2021
2021.11
pp.171-172
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
With the recent development of computer technology, machine learning is being applied to the semiconductor field. However, it takes a lot of time in existing simulators to make a large number of samples required for this. In this paper, samples were produced in two ways to obtain samples in a short time. The similarity between the data of the generated samples and the real data distribution was measured and compared.
목차
Abstract
I. INTRODUCTION
II. MATERIALS AND METHODS
A. Semiconductor data
B. Interpolation
C. Conditional GAN
D. KL divergence
III. RESULTS AND DISCUSSION
IV. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
I. INTRODUCTION
II. MATERIALS AND METHODS
A. Semiconductor data
B. Interpolation
C. Conditional GAN
D. KL divergence
III. RESULTS AND DISCUSSION
IV. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
저자정보
참고문헌
자료제공 : 네이버학술정보