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

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.