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This paper proposes a gas identification system based on the committee machine (CM) classifier, which combines various gas identification algorithms, to obtain a unified decision with improved accuracy. The CM combines five different classifiers: K nearest neighbors (KNNs), multilayer perceptron (MLP), radial basis function (RBF), Gaussian mixture model (GMM), and probabilistic principal component...
In this paper a gas discrimination system based on five classification algorithms including K nearest neighbors (KNN), multi-layer perceptron (MLP), radial basis function (RBF), Gaussian mixture model (GMM) and probabilistic principal component analysis (PPCA) has been presented. A Committee machine (CM) is used in which the results from each classifier are first transformed to confidences and then...
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