Paper Title:
Recognition of Mineral Water with an Electronic Tongue Based on PCA and PNN
  Abstract

Electronic Tongue is a kind of intelligent equipment which is used to distinguish tastes. An electronic tongue composed of a sensor array of ion-selective electrodes has been developed and used for the qualitative analysis of five different brands of mineral water. The acquired original data has been optimized by principal component analysis (PCA) and then the probabilistic neural network (PNN) model is designed to process the data. The application results show that the performance of the proposed method has surpasses the traditional BP neural network algorithm, the speed of recognition is fast and the accuracy rate can reach 100%, which gives the electronic tongue system good practicability and feasibility.

  Info
Periodical
Key Engineering Materials (Volumes 467-469)
Edited by
Dehuai Zeng
Pages
888-893
DOI
10.4028/www.scientific.net/KEM.467-469.888
Citation
H. Men, Y. M. Guo, R. X. Wen, B. Zhu, "Recognition of Mineral Water with an Electronic Tongue Based on PCA and PNN", Key Engineering Materials, Vols. 467-469, pp. 888-893, 2011
Online since
February 2011
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