Paper
31 January 1994 Analysis and classification of vapor phase infrared spectra by feed-forward neural networks
Nelson W. Daniel Jr., Peter R. Griffiths
Author Affiliations +
Proceedings Volume 2089, 9th International Conference on Fourier Transform Spectroscopy; (1994) https://doi.org/10.1117/12.166786
Event: Fourier Transform Spectroscopy: Ninth International Conference, 1993, Calgary, Canada
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nelson W. Daniel Jr. and Peter R. Griffiths "Analysis and classification of vapor phase infrared spectra by feed-forward neural networks", Proc. SPIE 2089, 9th International Conference on Fourier Transform Spectroscopy, (31 January 1994); https://doi.org/10.1117/12.166786
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KEYWORDS
Neural networks

Infrared radiation

Absorbance

Spectral resolution

Pattern recognition

Absorption

Associative arrays

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