中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Gesture Recognition Based on BP Neural Network Improved by Chaotic Genetic Algorithm

文献类型:期刊论文

作者Dong-Jie Li; Yang-Yang Li; Jun-Xiang Li; Yu Fu
刊名International Journal of Automation and Computing
出版日期2018
卷号15期号:3页码:267-276
关键词Gesture recognition back propagation (BP) neural network chaos algorithm genetic algorithm data glove.
ISSN号1476-8186
DOI10.1007/s11633-017-1107-6
英文摘要Aim at the defects of easy to fall into the local minimum point and the low convergence speed of back propagation (BP) neural network in the gesture recognition, a new method that combines the chaos algorithm with the genetic algorithm (CGA) is proposed. According to the ergodicity of chaos algorithm and global convergence of genetic algorithm, the basic idea of this paper is to encode the weights and thresholds of BP neural network and obtain a general optimal solution with genetic algorithm, and then the general optimal solution is optimized to the accurate optimal solution by adding chaotic disturbance. The optimal results of the chaotic genetic algorithm are used as the initial weights and thresholds of the BP neural network to recognize the gesture. Simulation and experimental results show that the real-time performance and accuracy of the gesture recognition are greatly improved with CGA.
源URL[http://ir.ia.ac.cn/handle/173211/42408]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位School of Automation, Harbin University of Science and Technology, Harbin 150080, China
推荐引用方式
GB/T 7714
Dong-Jie Li,Yang-Yang Li,Jun-Xiang Li,et al. Gesture Recognition Based on BP Neural Network Improved by Chaotic Genetic Algorithm[J]. International Journal of Automation and Computing,2018,15(3):267-276.
APA Dong-Jie Li,Yang-Yang Li,Jun-Xiang Li,&Yu Fu.(2018).Gesture Recognition Based on BP Neural Network Improved by Chaotic Genetic Algorithm.International Journal of Automation and Computing,15(3),267-276.
MLA Dong-Jie Li,et al."Gesture Recognition Based on BP Neural Network Improved by Chaotic Genetic Algorithm".International Journal of Automation and Computing 15.3(2018):267-276.

入库方式: OAI收割

来源:自动化研究所

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