Development of semi-supervised multiple-output soft-sensors with Co-training and tri-training MPLS and MRVM
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DOI: 10.1016/j.chemolab.2020.103970
Abstract: Abstract Soft sensors are the most commonly used tools to estimate the hard-to-measure variables in the chemical processes and other industries, mainly due to unknown mechanism, significant measurement delay and highly unacceptable costs. However, a… read more here.
Keywords: tri training; training mpls; multiple output; training ... See more keywords