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A hybrid location algorithm based on BP neural networks with multilayer data fusion
文献类型:会议
作者:Zhao, Ping[1]  Li, Lingyan[2]  Shi, Haoshan[3]  
机构:Northwestern Polytech Univ, Sch Elect & Informat, Xian 710072, Shaanxi, Peoples R China.
年:2007
通讯作者:Zhao, P (reprint author), Northwestern Polytech Univ, Sch Elect & Informat, Xian 710072, Shaanxi, Peoples R China.
会议名称:ICNC 2007: Third International Conference on Natural Computation, Vol 1, Proceedings
页码范围:366-370
收录情况:CPCI-S(WOS:000250426400073)  
所属部门:电子信息学院
人气指数:276
浏览次数:275
语言:外文
摘要:
In this paper, a hybrid location algorithm based on BP neural network with multi-layer data fusion is proposed to carry out hybrid location of space probe's position and attitude according to the multi parameter characteristic. As the algorithm model with multi-layer data fusion is built, the former data fusion pattern for hybrid location is developed and improved. In the paper the hybrid location algorithm with image vector recognition based on BP neural network is simulated to verify image loc ...More
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