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We propose a novel structure of a cascade of Artificial Neural Network (ANN) committees for the quantification of mixtures. In this structure the committees first analyze the gases that have a better regression and then pass the predicted concentration to the other committees, thus improving the information available for the most difficult gases without increasing the complexity of the ANNs. To test...
A semiconductor multisensorial system, based on tin oxide, to control the quality of dry-cured Iberian hams is described. Two types of ham (submitted to different drying temperatures) were selected. Good responses were obtained from the 12 elements forming the multisensor for different operating temperatures. Discrimination between the two types of ham was successfully realised through principal component...
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