%0 Journal Article
%T Anomalistic electromagnetism signal detection model based on immune network<br>基于免疫网络的异态电磁信号监测模型
%A MA Jie
%A ZHONG Zi-fa
%A ZOU Xiang
%A SHI Ying-chuna
%A <br>马捷
%A 钟子发
%A 邹翔
%A 史英春a
%J 计算机应用研究
%D 2011
%I 
%X When Artificial Immune System (AIS) is used in the daily anomalistic electromagnetism signal detection at the moderate signal density issue, there exists redundancy in the detectors of system, an anomalistic electromagnetism signal detection model based on immune network is presented in this paper. By introducing the notions of data compression and detector suppression, the model can decrease the number of detectors efficiently. The model has been tested by real wireless signal monitoring data, and its results are compared to the model based on negative selection theory, which indicates that the proposed model can reduce the number of detectors and decrease the detection time apparently.
%K Electromagnetism Spectrum Monitoring
%K Anomalistic Signal Detection
%K Artificial Immune System
%K Immune Network<br>电磁频谱监测
%K 异态信号检测
%K 人工免疫系统
%K 免疫网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=4EFBFB462B6020CB05BED6BDC457BA41&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=EED5C98ED814B809&eid=FCB16C6DAE3686F1&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9