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Target Identification of Correlation Information Based on BP Network D-S Evidence Theory

机译:基于BP网络和D-S证据理论的相关信息目标识别

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摘要

The characteristics of the D-S evidence theory is analyzed and based on the requirement that the evidences are independent mutually and probabilities are known, this paper presents a new target identification method of correlation information. From the detected correlation evidences, first the correlativity theory is used to complete decoupling of these evidences and BP network is applied to calculate confidence of these evidences, then the D-S evidence theory is used to fuse the information in order to get the high accurate and reliable results. The experiment shows that the method is practicable and it can effectively enhance the efficiency and reliability of the target identification of the correlation information.
机译:分析了D-S证据理论的特点,根据证据相互独立,已知概率的要求,提出了一种新的相关信息目标识别方法。从检测到的相关证据中,首先使用相关性理论完成对这些证据的解耦,然后使用BP网络计算这些证据的置信度,然后使用DS证据理论对信息进行融合以得到高度准确和可靠的信息。结果。实验表明,该方法是可行的,可以有效提高相关信息目标识别的效率和可靠性。

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