TRANSFER OF A CALIBRATION MODEL USING A SPARSE TRANSFER SET

    公开(公告)号:US20180031421A1

    公开(公告)日:2018-02-01

    申请号:US15614110

    申请日:2017-06-05

    Abstract: A device may obtain a master calibration set, associated with a master calibration model of a master instrument, that includes spectra, associated with a set of samples, generated by the master instrument. The device may identify a selected set of master calibrants based on the master calibration set. The device may obtain a selected set of target calibrants that includes spectra, associated with the subset of the set of samples, generated by the target instrument. The device may create a transfer set based on the selected set of master calibrants and the selected set of target calibrants. The device may create a target calibration set, corresponding to the master calibration set, based on the transfer set. The device may generate, using an optimization technique associated with the transfer set and a support vector regression modeling technique, a transferred calibration model, for the target instrument, based on the target calibration set.

    IDENTIFICATION USING SPECTROSCOPY
    13.
    发明申请
    IDENTIFICATION USING SPECTROSCOPY 审中-公开
    使用光谱鉴定

    公开(公告)号:US20170059480A1

    公开(公告)日:2017-03-02

    申请号:US15247554

    申请日:2016-08-25

    CPC classification number: G01N21/31 G06F19/703 G06F19/707 G06N7/005 G06N99/005

    Abstract: A device may receive information identifying results of a spectroscopic measurement of an unknown sample. The device may perform a first classification of the unknown sample based on the results of the spectroscopic measurement and a global classification model. The device may generate a local classification model based on the first classification. The device may perform a second classification of the unknown sample based on the results of the spectroscopic measurement and the local classification model. The device may provide information identifying a class associated with the unknown sample based on performing the second classification.

    Abstract translation: 设备可以接收识别未知样品的光谱测量结果的信息。 该装置可以基于光谱测量的结果和全局分类模型来执行未知样本的第一分类。 设备可以基于第一分类生成本地分类模型。 该装置可以基于光谱测量和局部分类模型的结果执行未知样品的第二分类。 该装置可以基于执行第二分类来提供标识与未知样本相关联的类别的信息。

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