中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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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