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In this work, an aroma identification system has been developed. Based on an array of semiconductor tin dioxide gas sensors and neural network processing algorithms, the system has proven a 100% success rate in the discrimination of five different aromatic species. An initial nine sensor array was simplified to seven after a PCA analysis detected redundancy between three of the sensors. Data processing...
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