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联合信度推理证据网参数学习

DOI: 10.13195/j.kzyjc.2013.0814, PP. 1419-1423

Keywords: 证据网,联合信任测度,格雷编码,遗传算法

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Abstract:

证据网络是证据理论的层次化推广,联合信任测度是证据网络中的一种推理方法,推理参数一般由专家经验给出.为了更准确地获得参数,提出一种将冲突大小作为评价函数,利用格雷编码遗传算法,通过评价输入来自动获取优化参数的方法.以机载多传感器平台为例的仿真实验表明,所提出方法的融合识别性能优于专家知识设定参数的方法,而且初始种群数量越大,越能获得好的识别结果.

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