Artificial neural networks applied to FTIR and FT-Raman spectra in biomedical applications

被引：3

作者：

Schmitt, J ^{[1
]}

Udelhoven, T ^{[1
]}

Lochte, T ^{[1
]}

Flemming, HC ^{[1
]}

Naumann, D ^{[1
]}

机构：

[1] Univ Duisburg Gesamthsch, Dept Aquat Microbiol, Spect Grp, D-4100 Duisburg, Germany

来源：

FOURIER TRANSFORM SPECTROSCOPY | 1998年 / 430期

关键词：

D O I：

10.1063/1.55816

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Biomedical applications of vibrational spectroscopy developed for routine analysis reqiure reliable methods for data evaluation. Artificial neural networks open a new perspective for the spectra differentiation and identification of biologic samples with their small spectral variance. Spectral libraries based on different combined neural networks have been developed using ET-IR and FT-Raman spectra for bacteria and yeast identification.

引用

页码：260 / 263

页数：4

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