Abstract
In this paper our three recent achievements of electronic noses are reviewed with the emphasis on Artificial Neural Networks (ANNs). The back-propagation algorithm has been used for identifying aromas of alcoholic beverages, and Fuzzy Learning Vector Quantization algorithm has been developed and is found promising for odour discrimination. The third is the analog ANN hardware which can be used in a compact odour sensing system. Those algorithms and a hardware system are discussed with respects to odour or gas identification capability.
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© 1992 Springer Science+Business Media Dordrecht
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Moriizumi, T., Nakamoto, T., Sakuraba, Y. (1992). Pattern Recognition in Electronic Noses by Artificial Neural Network Models. In: Gardner, J.W., Bartlett, P.N. (eds) Sensors and Sensory Systems for an Electronic Nose. NATO ASI Series, vol 212. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-7985-8_14
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DOI: https://doi.org/10.1007/978-94-015-7985-8_14
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