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- W1562855560 abstract "A method for implementing an electronic nose, trained to discriminate between different odorants is demonstrated. The 'nose' consists of a number of chemically modified gas sensors. On exposure to odorants, a unique dynamic response pattern (termed signature) is obtained for each sensor, based on the interfacial kinetics of the odorant and sensor coating. These kinetic signatures are used to train a multi-tiered artificial neural network (ANN) to discriminate between different odorants. Subsequent recognition of odorants presented to the 'nose' is by means of identifying two dimensional olfactory response maps, generated from the outputs of the ANN. >" @default.
- W1562855560 created "2016-06-24" @default.
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- W1562855560 date "2002-12-17" @default.
- W1562855560 modified "2023-09-25" @default.
- W1562855560 title "An artificial olfactory system using tiered artificial neural networks" @default.
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- W1562855560 doi "https://doi.org/10.1109/anziis.1994.396946" @default.
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