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A behavior controller based on spiking neural networks for mobile robots

文献类型：期刊论文

作者Wang, Xiuqing1,2; Hou, Zeng-Guang1; Zou, Anmin1; Tan, Min1; Cheng, Long1
刊名NEUROCOMPUTING
出版日期2008
卷号71期号:4-6页码:655-666
关键词spiking neural networks mobile robot obstacle avoidance Hebbian learning ultrasonic data
英文摘要Spiking neural networks (SNNs), as the third generation of artificial neural networks, have unique advantages and are good candidates for robot controllers. A behavior controller based on a spiking neural network is designed for mobile robots to avoid obstacles using ultrasonic sensory signals. Detailed structure and implementation of the controller are discussed. In the controller the integrated-and-firing model is used and the SNN is trained by the Hebbian learning algorithm. Under the framework of SNNs, fewer neurons are employed in the controller than those of the classical neural networks (NNs). Experimental results show that the proposed controller is effective and is easy to implement. (c) 2007 Elsevier B.V. All rights reserved.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
关键词[WOS]FUZZY CONTROLLER ; NEURONS ; CIRCUITS ; RULES
收录类别ISTP ; SCI
语种英语
WOS记录号WOS:000253663800025
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9601]  
专题自动化研究所_09年以前成果
作者单位1.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China
2.Hebei Normal Univ, Vocat & Tech Inst, Shijiazhuang 050031, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Xiuqing,Hou, Zeng-Guang,Zou, Anmin,et al. A behavior controller based on spiking neural networks for mobile robots[J]. NEUROCOMPUTING,2008,71(4-6):655-666.
APA Wang, Xiuqing,Hou, Zeng-Guang,Zou, Anmin,Tan, Min,&Cheng, Long.(2008).A behavior controller based on spiking neural networks for mobile robots.NEUROCOMPUTING,71(4-6),655-666.
MLA Wang, Xiuqing,et al."A behavior controller based on spiking neural networks for mobile robots".NEUROCOMPUTING 71.4-6(2008):655-666.

入库方式： OAI收割

来源：自动化研究所

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