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Data Mining of Ultraviolet Spectra of Environment Pollutants

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Executive Summary

This paper suggests a novel method named DOSC-WT-GRNN based on Generalized Regression Neural Network (GRNN) with Direct Orthogonal Signal Correction (DOSC) and Wavelet Transform (WT) as a pre-processing tool for the simultaneous spectrophotometric determination of o-nitro-aniline, m-nitro-aniline and p-nitro-aniline. DOSC was applied to remove structured noise that is unrelated to the concentration variables. Wavelet representations of signals provide a local time - frequency description, thus in the wavelet domain, the quality of noise removal can be improved.

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