Anomalistic electromagnetism signal detection model based on immune network
基于免疫网络的异态电磁信号监测模型

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.