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Methods for forming recognition algorithms for laser-induced breakdown spectroscopy

机译:激光诱导击穿光谱识别算法的形成方法

摘要

In one embodiment, a method for forming a recognition algorithm for laser-induced breakdown spectroscopy may include: determining a most mathematically different dataset of a plurality of spectral datasets corresponding to materials; dividing the spectral datasets into model development datasets and performance evaluation datasets; transforming, automatically with a processor, one of the model development datasets into a first discrimination model that discriminates the first spectra; removing the first spectra from the model development datasets to yield a subset of development datasets; determining a next most mathematically different spectral dataset of the spectral datasets; transforming the subset of development datasets into a second discrimination model that discriminates the second spectra; and combining the first discrimination model and the second discrimination model to form the recognition algorithm for laser-induced breakdown spectroscopy.
机译:在一个实施例中,一种用于形成用于激光诱导击穿光谱的识别算法的方法可以包括:确定与材料相对应的多个光谱数据集中在数学上最不同的数据集;将频谱数据集分为模型开发数据集和性能评估数据集;用处理器自动地将一个模型开发数据集转换成用于区分第一光谱的第一鉴别模型;从模型开发数据集中删除第一个光谱以产生开发数据集的子集;确定光谱数据集中下一个数学上最不相同的光谱数据集;将发展数据集的子集转换为可区分第二光谱的第二识别模型;结合第一鉴别模型和第二鉴别模型,形成激光诱导击穿光谱的识别算法。

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