APPLICATION OF BP NEURAL NETWORK BASED ON ADAPTIVE KALMAN FILTERING TO NAVIGATION
Nie Jianliang 1) ; and Zhang Hui 2)
1)School of Geological and Surveying Engineering, Chang’an University, Xi’an 7100542)Foreign Language Office, Elementary Science Department, Military Economics Academy of PLA,Wuhan 430035
Abstract 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.
Key words ：
BP neural network
adaptive Kalman filtering
generalization ability
adaptive factor
navigation
Received: 01 January 1900
Corresponding Authors:
Nie Jianliang
Cite this article:
Nie Jianliang ,and Zhang Hui . APPLICATION OF BP NEURAL NETWORK BASED ON ADAPTIVE KALMAN FILTERING TO NAVIGATION[J]. , 2007, 27(3): 56-59.
Nie Jianliang ,and Zhang Hui . APPLICATION OF BP NEURAL NETWORK BASED ON ADAPTIVE KALMAN FILTERING TO NAVIGATION[J]. jgg, 2007, 27(3): 56-59.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2007/V27/I3/56
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