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Proceedings Paper

Analysis and classification of vapor phase infrared spectra by feed-forward neural networks
Author(s): Nelson W. Daniel; Peter R. Griffiths
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Paper Abstract

The interpretation and classification of vapor phase infrared spectra of alcohols and esters by neural networks is reported. Feature spectra produced by neural networks reveal functional group-specific absorption bands.

Paper Details

Date Published: 31 January 1994
PDF: 2 pages
Proc. SPIE 2089, 9th International Conference on Fourier Transform Spectroscopy, (31 January 1994); doi: 10.1117/12.166786
Show Author Affiliations
Nelson W. Daniel, Univ. of Idaho (United States)
Peter R. Griffiths, Univ. of Idaho (United States)


Published in SPIE Proceedings Vol. 2089:
9th International Conference on Fourier Transform Spectroscopy
John E. Bertie; Hal Wieser, Editor(s)

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