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

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

Jun 1998

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998aipc..430..260s&link_type=abstract

The eleventh international conference on fourier transform spectroscopy. AIP Conference Proceedings, Volume 430, pp. 260-263 (1

Mathematics

Logic

Infrared And Raman Spectroscopy, Neural Networks, Fuzzy Logic, Artificial Intelligence

Scientific paper

Biomedical applications of vibrational spectroscopy developed for routine analysis require 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 FT-IR and FT-Raman spectra for bacteria and yeast identification.

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