针对水声目标信号复杂、样本获取难度大且富含不确定信息的问题,研究了一种新的证据K类近邻识别算法(Evidence K Nearest Neighbor,EK-NN)。首先在水声目标的各类训练样本中,根据特征距离大小选取待识别目标的K近邻,并构造其基本置信指...针对水声目标信号复杂、样本获取难度大且富含不确定信息的问题,研究了一种新的证据K类近邻识别算法(Evidence K Nearest Neighbor,EK-NN)。首先在水声目标的各类训练样本中,根据特征距离大小选取待识别目标的K近邻,并构造其基本置信指派函数。然后使用证据理论中的Dempster-Shafer(D-S)规则对各类别下的近邻证据进行组合,最后再应用冲突置信的比例分配规则5(Redistribute Conflicting mass proportionally rule5,PCR5)将所有类别的组合证据进行融合,并根据融合结果和所设立的分类规则来判断目标的类别属性。根据水声目标实测数据,将新算法与其他几种常见的水声目标识别算法进行了对比分析,结果表明新算法能有效提高识别的准确率。展开更多
EKS fiber,as a new type of hygroscopic thermal fiber,whose properties meet the requirement of warm clothing with environmental,healthy,and fashionable traits,attains more and more attention. The chemical composition a...EKS fiber,as a new type of hygroscopic thermal fiber,whose properties meet the requirement of warm clothing with environmental,healthy,and fashionable traits,attains more and more attention. The chemical composition and morphological structure of EKS fiber were confirmed by infrared spectrum,pyrolysis gas chromatography-mass spectrometry( Py-GC-MS),and microscope respectively. In addition, burning performance,dissolving property,and tensile properties were tested respectively.It fills in the gaps in characterization of EKS structure and properties.展开更多
文摘针对水声目标信号复杂、样本获取难度大且富含不确定信息的问题,研究了一种新的证据K类近邻识别算法(Evidence K Nearest Neighbor,EK-NN)。首先在水声目标的各类训练样本中,根据特征距离大小选取待识别目标的K近邻,并构造其基本置信指派函数。然后使用证据理论中的Dempster-Shafer(D-S)规则对各类别下的近邻证据进行组合,最后再应用冲突置信的比例分配规则5(Redistribute Conflicting mass proportionally rule5,PCR5)将所有类别的组合证据进行融合,并根据融合结果和所设立的分类规则来判断目标的类别属性。根据水声目标实测数据,将新算法与其他几种常见的水声目标识别算法进行了对比分析,结果表明新算法能有效提高识别的准确率。
基金China Postdoctoral Science Foundation,China(No.2013M530165)Fundamental Research Funds for the Central Universities of China
文摘EKS fiber,as a new type of hygroscopic thermal fiber,whose properties meet the requirement of warm clothing with environmental,healthy,and fashionable traits,attains more and more attention. The chemical composition and morphological structure of EKS fiber were confirmed by infrared spectrum,pyrolysis gas chromatography-mass spectrometry( Py-GC-MS),and microscope respectively. In addition, burning performance,dissolving property,and tensile properties were tested respectively.It fills in the gaps in characterization of EKS structure and properties.
