物理学报Issue(12)：1-7,7.DOI:10.7498/aps.63.122801
基于自适应网络模糊推理系统的γ能谱指纹模糊识别
Fuzzy identification of γ ray fingerprints based on adaptive network-based fuzzy inference system
摘要
Abstract
An identification method of γ-ray fingerprints based on adaptive network-based fuzzy inference system is brought forward. By setting up model and performing simulation, the parameters of the system relevant to theγ-ray fingerprints are extracted as the identification features. The two-dimensional fuzzy set about the identification features is put forward, and the fundamental principle for identification is established. The types and the individuals of nuclear materials are identified successfully with high degree of confidence. The simulation materials as radiation sources are identified with the method, and the performance of the method is studied and discussed. The results show that the method has not only strong capabilities for identifying the types and the individuals of the radiation sources, but also strong de-noising capability and low identification limit, and it can be applied to the nuclear materials safeguard.关键词
γ能谱指纹/自适应网络模糊推理系统/模糊集/模糊识别Key words
γ-ray fingerprint/adaptive network-based fuzzy inference system/fuzzy set/fuzzy identifica-tion引用本文复制引用
王崇杰,刘媛媛,张博超,张倩妮,刘金艳,金鸽,张敏..基于自适应网络模糊推理系统的γ能谱指纹模糊识别[J].物理学报,2014,(12):1-7,7.基金项目
国家自然科学基金(批准号:51101080, E011002)资助的课题.* Project supported by the National Natural Science Foundation of China (Grant Nos.51101080, E011002) （批准号:51101080, E011002）
