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spiking neural networks and its application for mobile robots
Wang Xiuqing; Hou Zeng-Guang; Tan Min; Wang Yongji; Huang Zhanhua
2011
Conference Name30th Chinese Control Conference, CCC 2011
SourceProceedings of the 30th Chinese Control Conference, CCC 2011
Pages4133-4138
Conference Date22-Jul-02
Conference PlaceYantai, China
Indexed TypeEI
Publish PlaceUnited States
ISBN9789881725592
Department(1) Hebei Normal University, Shijiazhuang 050031, China; (2) Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; (3) Laboratory for Internet Technologies, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China
English AbstractIn this paper, the third generation neural network- Spiking neural networks (SNNs) are introduced. SNNs' origination, characteristic, coding, the training methods, and the models of Spiking neurons and synaptics are also discussed. A survey for SNNs' research and application in mobile robots is made. Because of SNNs' unique characteristic: good biological plausibility, Spiking neurons involving both temporal and spatial information, faster and more efficiently computing, good robustness and easy implementation by hardware, SNNs have been used in mobile robots' control, environment perception and robots' vision successfully. © 2011 Chinese Assoc of Automati.
KeywordComputer Vision Control Mobile Robots
SponsorshipAcademy of Mathematics and Systems Science, CAS; IEEE Control Systems Society; IEEE Industrial Electronics Society; The Society of Instr. and Contr. Engineers of Japan; Institute of Control, Robotics and Systems of Korea
Language中文
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/14223
Collection互联网软件技术实验室
Recommended Citation
GB/T 7714
Wang Xiuqing,Hou Zeng-Guang,Tan Min,et al. spiking neural networks and its application for mobile robots[C]. United States,2011:4133-4138.
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