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Traditional time series classification problem with supervised learning algorithm needs a large set of labeled training data. In reality, the number of labeled data is often smaller and there is huge number of unlabeled data. However, manually labeling these unlabeled examples is time-consuming and expensive, and sometimes it is even impossible. Although some semi-supervised and active learning methods...
In this paper, based on the noise signal, BBD ball mill material detection method and mill pulverizing system optimization control are presented. The noise of ball mill is decomposed using wavelet packet. The eigenvectors reflecting coal level of mill can be obtained from wavelet packet parameters. Through neural network training, the statistical model of coal level and ball mill eigenvectors is established...
In this paper, the material measure of BBD ball mill based on multi-information data fusion is researched. By combining the Rough Set and Radial Basis Function neural network, this method can not only solve the priori difficulty in obtaining information in data fusion and a large number of redundant data existing problems in system, but also greatly increase the approximation ability and learning...
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