摘要
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.
作者
秦大淼
QIN Da-miao (Shanghai Maritime University, Shanghai 200135, China)
出处
《电脑知识与技术(过刊)》
2010年第14期3722-3723,共2页
Computer Knowledge and Technology
关键词
卡尔曼滤波
神经网络
组合模式
Kalman filtering
neural networks
combined modes