A comparison study of pattern recognition algorithms implemented on a microcontroller for use in an electronic tongue for monitoring drinking waters

Autor: Jose Garrigues, Monika Glanc, Rafael Masot, Eduardo Garcia-Breijo, N. Laguarda-Miró, Cristian Olguin, Luis Gil-Sánchez, John Atkinson, Javier Ibáñez
Jazyk: angličtina
Rok vydání: 2011
Předmět:
Zdroj: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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Popis: A portable electronic tongue has been developed using an array of eighteen thick-film electrodes of different materials forming a multi-electrode array. A microcontroller is used to implement the pattern recognition. The classification of drinking waters is carried out by a Microchip PIC18F4550 microcontroller and is based on neural networks algorithms. These algorithm are initially trained with the multi-electrode array on a Personal Computer (PC) using several samples of waters (still, sparkling and tap) to obtain the optimum architecture of the networks. Once it is trained, the computed data are programmed into the microcontroller, which then gives the water classification directly for new unknown water samples. A comparative study between a Fuzzy ARTMAP, a Multi-Layer Feed-Forward network (MLFF) and a Linear DiscriminantAnalysis (LDA) has been done in order to obtain the bestimplementation on a microcontroller.
Dr. E. Garcia gratefully acknowledges financial support (grant BEST/2010/138) from the Generalitat Valenciana and (grant PAID-00-10) from the Universidad Politecnica de Valencia during his stay at the University of Southampton. We also thank MICINN (MAT2009-14564-C04-02).
Databáze: OpenAIRE