MULTI-DIMENSIONAL SPECTRAL ANALYSIS FOR IMPROVED IDENTIFICATION AND CONFIRMATION OF RADIOACTIVE ISOTOPES
    10.
    发明申请
    MULTI-DIMENSIONAL SPECTRAL ANALYSIS FOR IMPROVED IDENTIFICATION AND CONFIRMATION OF RADIOACTIVE ISOTOPES 审中-公开
    用于改进放射性同位素鉴定和确认的多维光谱分析

    公开(公告)号:US20110113003A1

    公开(公告)日:2011-05-12

    申请号:US12736451

    申请日:2009-03-27

    IPC分类号: G06N7/02

    CPC分类号: G01N23/00 G01N2223/01

    摘要: A method and system for classifies an unknown sample that contains either a first radioactive isotope, a second radioactive isotope, or a mixture of the first and second radioactive isotopes. Input vectors representative of a training set of samples for a first isotope class and a second isotope class are received. A multivariate classification model is constructed based on the received input vectors. Data is received corresponding to the unknown sample. First and second probabilities that the unknown sample respectively belongs to the first isotope class and the second isotope class are calculated. Based on the first and second probabilities, the unknown sample is classified as either the first radioactive isotope, the second radioactive isotope, or a mixture of the first and second radioactive isotopes.

    摘要翻译: 用于分类含有第一放射性同位素,第二放射性同位素或第一和第二放射性同位素的混合物的未知样品的方法和系统。 接收代表第一同位素类和第二同位素类的样本训练集的输入向量。 基于接收的输入向量构建多变量分类模型。 接收对应于未知样本的数据。 未知样品分别属于第一同位素类和第二同位素类的第一和第二概率。 基于第一和第二概率,未知样品被分类为第一放射性同位素,第二放射性同位素或第一和第二放射性同位素的混合物。