The Application of Binary Encoded 2nd Differential Spectrometry in Preprocessing of UV-Vis Absorption Spectral Data

Autor: W. J. O. Boyle, K. T. V. Grattan, N. Benjathapanun
Rok vydání: 1997
Předmět:
Zdroj: Mathematics of Neural Networks ISBN: 9781461377948
DOI: 10.1007/978-1-4615-6099-9_13
Popis: 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.
Databáze: OpenAIRE