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Restrict Boltzmann Machine, a generative model that consists of one visible layer and one hidden layer, plays an important role in deep learning. It can be used as a feature extractor in an unsupervised way. In process diagnosis area, the Sparse Class Gaussian Restrict Boltzmann Machine is developed as a discriminative nonlinear feature extractor for classification in order to solve the discriminative...
Typically, a multiphase batch process comprises several steady phases and transition periods. In steady phases, the data characteristics remain similar during the phase and have a significant repeatability from batch to batch; thus most data nonlinearities can be removed through the batch normalization step. In contrast, in each transition period, process observations vary with time and from batch...
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