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Fitting fluorescence spectra with genetic algorithms

机译:用遗传算法拟合荧光光谱

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Up until now it was not possible to automate the interpretation of spectra in which both frequencies and intensities contain (chemical) information. If the possibility of shifting peaks exist, pointwise comparisons of intensities at specific wavelengths is no longer adequate because wrong peaks could easily be compared. We show that with a suitable fitness function, which is generally applicable, spectra with shifted peaks can be solved using a standard GA. The method is very robust and illustrated using laser induced fluorescence spectra taken from Indole, Benzimidazole and 4-Aminobenzonitrile.
机译:到目前为止,无法自动解释光谱,其中频率和强度包含(化学)信息。如果存在转换峰的可能性,则特定波长的强度的点亮比较不再足够,因为可以容易地比较错误的峰。我们表明,使用通常适用的合适的健身功能,可以使用标准GA来解决具有偏移峰的光谱。该方法非常稳健,并使用激光诱导从吲哚,苯并咪唑和4-氨基苄腈取出的荧光光谱来说明。

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