Assessing Observability using Supervised Autoencoders with Application to Tennessee Eastman Process
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DOI: 10.1016/j.ifacol.2020.12.122
Abstract: Abstract This work presents a novel approach to calculate classification observability using a supervised autoencoder (SAE) neural network (NN) for classification. This metric is based on a minimal distance between every two classes in the… read more here.
Keywords: using supervised; tennessee eastman; process; observability using ... See more keywords