Classification of infrared spectra of organophosphorus compounds with artificial neural networks

Howard T. Mayfield; DeLyle Eastwood; Larry W. Burggraf

doi:10.1117/12.372886

16 December 1999 Classification of infrared spectra of organophosphorus compounds with artificial neural networks

Howard T. Mayfield, DeLyle Eastwood, Larry W. Burggraf

Proceedings Volume 3854, Pattern Recognition, Chemometrics, and Imaging for Optical Environmental Monitoring; (1999) https://doi.org/10.1117/12.372886
Event: Photonics East '99, 1999, Boston, MA, United States

Abstract

We examine the use of artificial neural networks to classify IR spectra of organophosphorus pesticides and chemically related compounds. The spectra used were contributed from commercial libraries, government agencies, and government contractors and include spectra of pesticides, industrial precursors, hydrolysis products and other organophosphorus compounds. The data were pretreated to reduce artifacts arising from the variety of collection sources. The treated spectra were divided into spectral 'bins' of equal frequency width and transduced into data vectors whose elements consisted of the average absorbance value of the corresponding spectral bin. The spectral data vectors served as inputs to neural networks examined as spectral classifiers.

Citation Download Citation

Howard T. Mayfield, DeLyle Eastwood, and Larry W. Burggraf "Classification of infrared spectra of organophosphorus compounds with artificial neural networks", Proc. SPIE 3854, Pattern Recognition, Chemometrics, and Imaging for Optical Environmental Monitoring, (16 December 1999); https://doi.org/10.1117/12.372886

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