Abstract
Recent developments in electronic olfactory systems have broaden their range of applications to many industrial fields, such as the chemical, food and cosmetic industries. Mimicking the human olfactory systems, where neural processing enhances the sensibility and selectivity of the chemosensory receptor cells, the new generation of “Electronic Noses” combine arrays of chemical sensors with powerful artificial neural network processing algorithms. This paper reviews the state of the art on these electronic instruments and describes the research activities conducted on this field by the Electrical Engineering Department of the Rovira i Virgili University of Tarragona, Spain.
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© 1997 Springer-Verlag Berlin Heidelberg
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Brezmes, J., Canyellas, N., Llobet, E., Vilanova, X., Correig, X. (1997). Application of artificial neural networks to the design and implementation of electronic olfactory systems. In: Mira, J., Moreno-Díaz, R., Cabestany, J. (eds) Biological and Artificial Computation: From Neuroscience to Technology. IWANN 1997. Lecture Notes in Computer Science, vol 1240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032578
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DOI: https://doi.org/10.1007/BFb0032578
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