Study on the deep neural network of intelligent image detection and the improvement of elastic momentum on image recognition
文献类型:期刊论文
作者 | Yue, Qi1,2; Ma, Caiwen1![]() |
刊名 | journal of computational and theoretical nanoscience
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出版日期 | 2016-05 |
卷号 | 13期号:5页码:3326-3330 |
关键词 | Gradient methods Image recognition Object recognition Target tracking |
ISSN号 | 15461955 |
产权排序 | 1 |
通讯作者 | yue, qi |
英文摘要 | aiming at deep neural network of intelligent image detection, this paper proposes parameter learning method of exponential elastic momentum, applies this method in the pedestrian detection, the detection accuracy is 97.8%. in addition, this algorithm is compared with adaptive momentum methods, standard momentum gradient method and elastic momentum, and the accuracy obtained through this method increases by 2.6% and 6.5% on average respectively. copyright © 2016 american scientific publishers all rights reserved. |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.opt.ac.cn/handle/181661/28233] ![]() |
专题 | 西安光学精密机械研究所_光电测量技术实验室 |
作者单位 | 1.Xi'an Institute of Optics and Precision Mechanic, Xi'an; 710119, China 2.University of Chinese Academy of Sciences, Beijing; 100039, China |
推荐引用方式 GB/T 7714 | Yue, Qi,Ma, Caiwen. Study on the deep neural network of intelligent image detection and the improvement of elastic momentum on image recognition[J]. journal of computational and theoretical nanoscience,2016,13(5):3326-3330. |
APA | Yue, Qi,&Ma, Caiwen.(2016).Study on the deep neural network of intelligent image detection and the improvement of elastic momentum on image recognition.journal of computational and theoretical nanoscience,13(5),3326-3330. |
MLA | Yue, Qi,et al."Study on the deep neural network of intelligent image detection and the improvement of elastic momentum on image recognition".journal of computational and theoretical nanoscience 13.5(2016):3326-3330. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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