Developing semi-supervised variational autoencoder-generative adversarial network models to enhance quality prediction performance
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DOI: 10.1016/j.chemolab.2021.104385
Abstract: Abstract One common serious issue of training a prediction model is that the process data significantly outnumber the quality data. Such discrepancy exists because of the time lag for obtaining quality data. This paper proposes… read more here.
Keywords: quality data; vae gan; model; prediction ... See more keywords