Biomimetic Electronic Tongue for Classification of Mineral Water

Electronic tongue is a kind of intelligent equipment which is used to distinguish tastes. An electronic tongue made by a sensor array of ion-selective electrodes (ISE) has been developed and used for the qualitative analysis of five different kinds of mineral waters. The acquired original data has been optimized by independent component analysis (ICA) and linear discriminant analysis (LDA), and then the learning vector quantization (LVQ) model was designed to classify different mineral waters. The application results show that the performance of the proposed method has surpasses the traditional self-organizing map (SOM) algorithm, can improve convergence and the learning capability of the network, and give the electronic tongue a higher aggregate classification rate.