Abstract
This paper describes classification of UV-Vis optical absorption spectra by binary encoding segments of the second derivative of the absorption spectra according to their shape. This allows successful classification of spectra using the Back Propagation Neural Network analysis (BPNN) algorithm where other preprocessing schemes have failed. It is also shown that once classified, estimation of chemical species concentration using a further stage of BPNN is possible. Data for the study are derived from laboratory-based measurements of UV-Vis optical absorption spectra from mixtures of common chemical pollutants.
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© 1997 Springer Science+Business Media New York
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Benjathapanun, N., Boyle, W.J.O., Grattan, K.T.V. (1997). The Application of Binary Encoded 2nd Differential Spectrometry in Preprocessing of UV-Vis Absorption Spectral Data. In: Ellacott, S.W., Mason, J.C., Anderson, I.J. (eds) Mathematics of Neural Networks. Operations Research/Computer Science Interfaces Series, vol 8. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6099-9_13
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DOI: https://doi.org/10.1007/978-1-4615-6099-9_13
Publisher Name: Springer, Boston, MA
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Online ISBN: 978-1-4615-6099-9
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