• This paper deals with the recognition of target and decoy. D S evidence combination method is applied to recognize target and decoy.

    本文目标诱饵识别背景、详细叙述了D-S证据结合方法的原理、融合模型和识别结果;

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  • We use a parallel and with feedback fusion system architecture, cascade D-S evidence theory to be fusion algorithm. Finally, a graphic target recognition system is realized.

    系统采用反馈全并行融合系统结构,以分级式d S证据推理数据融合算法最终实现一个图形化目标识别系统。

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  • In the D-S evidence theory, its necessary to obtain the basic probability assignment function of all kinds of evidence in order to carry on target recognition.

    S证据理论进行目标识别需要获取各项证据基本概率分配函数

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  • This article selects the theory based on the rough collection of data mining method and the D-S evidence theory to carry on the target recognition of multi-sensors.

    本文选用基于粗糙理论数据挖掘方法D - S证据理论对多传感器信息进行综合识别

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  • This article selects the theory based on the rough collection of data mining method and the D-S evidence theory to carry on the target recognition of multi-sensors.

    本文选用基于粗糙理论数据挖掘方法D - S证据理论对多传感器信息进行综合识别

    youdao

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