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DATA VALIDATION AND CLASSIFICATION IN OPTICAL ANALYSIS SYSTEMS

机译:光学分析系统中的数据验证和分类

摘要

A method of classifying information in an optical analysis system includes obtaining calibration data defining a plurality of data points, each data point representing values for two or more detectors when sampling a material used to construct a multivariate optical element. Based on the calibration data, one or more validation models can be developed to indicate one or more ranges of expected results. Validation data comprising the models can be used to compare data points representing values for two or more detectors when performing a measurement of a material to determine if the data points fall within an expected range. Classification data can be generated based on the comparison and, in some embodiments, one or more indicators, such as a confidence level in a measurement, can be provided.
机译:一种在光学分析系统中对信息进行分类的方法,包括:获得定义多个数据点的校准数据,每个数据点代表在对用于构造多元光学元件的材料进行采样时两个或多个检测器的值。基于校准数据,可以开发一个或多个验证模型来指示一个或多个预期结果范围。当执行材料测量以确定数据点是否落在预期范围内时,包含模型的验证数据可用于比较代表两个或多个检测器值的数据点。可以基于比较来生成分类数据,并且在一些实施例中,可以提供一个或多个指标,例如测量中的置信度。

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