Application of the wavelet transform coupled with artificial neural networks for quantification purposes in a voltammetric electronic tongue
نویسندگان
چکیده
This work describes a voltammetric electronic tongue, in which the quantitative information contained in voltammograms obtained from amperometric sensors is firstly extracted employing the discrete wavelet transform (DWT) and then processed employing artificial neural n i e D i o B ©
منابع مشابه
Data Compression for a Voltammetric Electronic Tongue Modelled with Artificial Neural Networks
In the study of voltammetric electronic tongues, a key point is the preprocessing of the departure information, the voltammograms which form the response of the sensor array, prior to classification or modeling with advanced chemometric tools. This work demonstrates the use of the discrete wavelet transform (DWT) for compacting these voltammograms prior to modeling. After compression, a system ...
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