원문정보
국제문화기술진흥원
International Journal of Advanced Culture Technology(IJACT)
Volume 4 Number 4
2016.12
pp.23-29
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, the learning technique for CNN processor on vehicle is proposed. In the case of conventional CNN processors, weighted values learned through training are stored for use, but when there is distortion in the image due to the weather conditions, the accuracy is decreased. Therefore, the method of enhancing the input image for classification is general, but it has the weakness of increasing the processor size. To solve this problem, the CNN performance was improved in this paper through the learning method of the distorted image. As a result, the proposed method showed improvement of approximately 38% better accuracy than the conventional method.
목차
Abstract
1. Introduction
2. Related researches
2.1 Convolutional neural network
2.2 Conventional training method
3. Proposed training method for CNN processor
4. Experiments
5. Conclusion
References
1. Introduction
2. Related researches
2.1 Convolutional neural network
2.2 Conventional training method
3. Proposed training method for CNN processor
4. Experiments
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보