%0 Journal Article %T APPLICATION OF BP NEURAL NETWORK BASED ON ADAPTIVE KALMAN FILTERING TO NAVIGATION
基于自适应Kalman滤波的BP神经网络导航中的应用 %A Nie Jianliang %A Zhang Hui %A
聂建亮 %A 张 卉 %J 大地测量与地球动力学 %D 2007 %I %X The adaptive Kalman filtering is used for training the link weight of hidden lay and output lay to improve the capability of BP neural network.By comparison,the precision and generalization ability of BP based on adaptive Kalman filtering are higher than those of the traditional BP neural network.In the example,it is proved that the new algorithm is efficient in the data processing of navigation. %K BP neural network %K adaptive Kalman filtering %K generalization ability %K adaptive factor %K navigation
BP神经网络 %K 自适应Kalman滤波 %K 泛化能力 %K 自适应因子 %K 导航 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=DA72A78627FE64EAA572951EA05D274A&jid=73A1A428591E600EF664B596512A2997&aid=E5BA95DCC0D5B401&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=38B194292C032A66&sid=014B591DF029732F&eid=6AC2A205FBB0EF23&journal_id=1671-5942&journal_name=大地测量与地球动力学&referenced_num=0&reference_num=25