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基于IMM-PDA算法的实际业务流预测研究
引用本文:鄢树.基于IMM-PDA算法的实际业务流预测研究[J].成都大学学报(自然科学版),2012,31(1):61-62,66.
作者姓名:鄢树
作者单位:成都大学信息科学与技术学院,四川成都,610106
摘    要:多模型可以在不同时刻为业务流构造不同的模拟模型,而概率数据关联则可以有效地在杂波环境中处理单目标的跟踪问题,即将交互式多模型概率数据关联应用到业务流的预测中.研究了在交互式多模型下建立一个实际业务流预测算法的模型.仿真实验表明,该预测算法具有较高精度.

关 键 词:多模型  数据关联  预测

Research on Predicting Algorithm of Real Traffic Flow Based on IMM-PDA
YAN Shu.Research on Predicting Algorithm of Real Traffic Flow Based on IMM-PDA[J].Journal of Chengdu University (Natural Science),2012,31(1):61-62,66.
Authors:YAN Shu
Institution:YAN Shu (School of Information Scieace and Technology, Chengdu University, Chengchu 610106, China)
Abstract:As multiple models can provide different models for the traffic flow at different time,and proba- bility data association can deal with the track of single target in the clutter environment,meaning that IMM- PDA can be applied to the predicting of traffic flow. Based on IMM-PDA, a predicting model for real traffic flow was established. The simulation experimental results show that the proposed algorithm has higher preci- sion compared with the traditional algorithms.
Keywords:Interacting Multiple Model  data association  prediction
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