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
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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 |
DOI | 10.1007/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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