基于生物免疫系统的自我-非我识别能力,采用新的检测器生成方法和匹配规则,综合识别目标的先验信息,提出一种基于阴性选择的免疫识别算法。结合空中**目标的检测和识别问题,对提出的算法进行了应用研究。实验结果表明,基于阴性选择的免疫识别算法用于目标检测和识别可以识别已知类型和未知类型目标,漏判率为0.375%,误判率为0.006%,检测精度达99.563%,而且对不同的入侵目标表现出很好的鲁棒性。

On the basis of the function of self/nonself recognition of natural immune system,a new immune recognition algorithm based on negative selection is presented.In proposed algorithm,the generation of detector set is improved and a new matching rule is also introduced to online matching detection.Moreover,the prior knowledge of the known target samples and the content update of the detector set are also considered.The proposed immune recognition algorithm is applied to detect and recognize the air targets,not only are the known types of targets detected and recognized,but also the unknown types of targets are detected.Experiment results show that the undetected error rate,the misrecognition error rate and the detection precision are 0.375%,0.006% and 99.563%,respectively.Meanwhile the detection process demonstrates good robustness for different targets.