卡尔曼滤波和神经网络组合模型的研究

Research on Kalman Filtering and Neural Networks Combined Modes

报告了近年来卡尔曼滤波算法和神经网络模型组合模式的研究现状,并介绍了一些主要的、比较常用的组合模型。在讨论这些模型的基础上,对这些模型的预测精度、计算量等性能进行了对比分析。最后,对卡尔曼滤波算法和神经网络组合模型的发展趋势做了有益的探讨。

This article reviews the recent combination of Kalman filtering and neural network model and describes some of the major groups model. On this basis, the prediction accuracy of these models, computational and other properties were compared. Finally, This article discusses the development trend of Kalman filtering and neural networks models.