Array Normalization Algorithms Applied to Qualitative Electronic Noses

Abstract:

In a qualitative electronic nose, different gas concentrations of the training dataset will have a negative effect on the correct recognition rate of the system. In order to reduce or eliminate the impact of the factor of concentration on the qualitative electronic nose, array normalization algorithms are proposed. In this paper, six different array normalization algorithms were studied and compared in different application cases. All of these algorithms are effective in increasing the correct recognition rate of the qualitative electronic nose and different algorithms are biased in favor of different application directions. The algorithms I II and III are most commonly used ones because of their stableness, the algorithms with global compression are better than the ones with local compression when more sensors are used in a array.

• Periodical: Applied Mechanics and Materials (Volumes 303-306)
• Pages: 284-287
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.303-306.284
• Online since: February 2013
• Authors: Zhou Ye Chen, Lei He
• Keywords: Array Normalization Algorithms, Electronic Nose, Gas Sensor Array

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