improved mobile robot's corridor-scene classifier based on probabilistic spiking neuron model
文献类型:会议论文
作者 | Wang Xiuqing ; Hou Zeng-Guang ; Tan Min ; Wang Yongji ; Fu Siyao ; Chen Lihui |
出版日期 | 2011 |
会议名称 | 10th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2011 |
会议日期 | August 18, |
会议地点 | Banff, AB, Canada |
关键词 | Information science Mobile robots |
页码 | 348-355 |
中文摘要 | The ability of cognition and recognition for complex environment is very important for a real autonomous robot. A improved Corridor-Scene-Classifier based on probabilistic Spiking Neuron Model(pSNM) for mobile robot is designed. In the SNN classifier, the model pSNM is used. As network's training, Thorpe's learning rule is used. The experimental results show that the improved Classifier is more effective and it also has stronger robustness than the previous classifier based on Integrated-and-Fire (IAF) spiking neuron model for the structural corridor-scene. It also has better robustness than the traditional kernel-pca and the BP Corridor-Scene-classifier. © 2011 IEEE. |
英文摘要 | The ability of cognition and recognition for complex environment is very important for a real autonomous robot. A improved Corridor-Scene-Classifier based on probabilistic Spiking Neuron Model(pSNM) for mobile robot is designed. In the SNN classifier, the model pSNM is used. As network's training, Thorpe's learning rule is used. The experimental results show that the improved Classifier is more effective and it also has stronger robustness than the previous classifier based on Integrated-and-Fire (IAF) spiking neuron model for the structural corridor-scene. It also has better robustness than the traditional kernel-pca and the BP Corridor-Scene-classifier. © 2011 IEEE. |
收录类别 | EI |
会议主办者 | IEEE; IEEE Computer Society (CS); IEEE Computational Intelligence Society (CIS); University of Calgary; The IEEE ICCI Steering Committee |
会议录 | Proceedings of the 10th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2011
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语种 | 英语 |
ISBN号 | 9781457716966 |
源URL | [http://ir.iscas.ac.cn/handle/311060/16212] ![]() |
专题 | 软件研究所_软件所图书馆_会议论文 |
推荐引用方式 GB/T 7714 | Wang Xiuqing,Hou Zeng-Guang,Tan Min,et al. improved mobile robot's corridor-scene classifier based on probabilistic spiking neuron model[C]. 见:10th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2011. Banff, AB, Canada. August 18,. |
入库方式: OAI收割
来源:软件研究所
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