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	BP neural network algorithm for multi-sensor trajectory separation based on maximum membership degree
	Sun, Chao ; Gao, Qinquan ; Li, Xinhui ; Luo, Zhifeng ; Liu, Xiaolin ; Sun C(孙超)
	2011
关键词	Clustering algorithms Fuzzy clustering Fuzzy systems Information science Mathematical models Mean square error Sensor data fusion Sensors Trajectories
英文摘要	Conference Name:2011 International Conference on Applied Informatics and Communication, ICAIC 2011. Conference Address: Xi'an, China. Time:August 20, 2011 - August 21, 2011.; Aiming at the problem of trajectory separation which belongs to the data fusion technology, the multi-sensor trajectory separation algorithm of BP neural network based on the maximum membership degree is presented in this paper. The trajectory points can be predicted by establishing the trajectory prediction model which is based on the BP neural network, and the new radar data can be judged whether they belong to the prescriptive trajectory; Based on the prediction of the BP neural network, the multi-trajectory separation algorithm of fuzzy clustering of maximum membership degree is added to improve the effectiveness and accuracy of the trajectory separation. The experimental tests show that the algorithm which is presented in this paper effectively improves the efficiency and accuracy of the trajectory separation, and has a better application value. Keywords: BP neural network, maximum membership degree, fuzzy clustering, mean square error. ? 2011 Springer-Verlag.
语种	英语
出处	http://dx.doi.org/10.1007/978-3-642-23220-6_62
出版者	Springer Verlag
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86999]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Sun, Chao,Gao, Qinquan,Li, Xinhui,et al. BP neural network algorithm for multi-sensor trajectory separation based on maximum membership degree. 2011-01-01.

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